Journal of Science, Technology and Environment Informatics
Volume 09 - Issue 01 | Year of Publication: 2020
Article Type: Research Article | No. 63, 2020 | Country: Bangladesh | pp. 618-628 | Open Access
Title: Farmers’ extent of adaptation strategies towards salinity effects in agriculture
Authors: Md. Arifur Rahman Peal, Muhammad Humayun Kabir, Mohummed Shofi Ullah Mazumder, Prome Debnath and Avijit Biswas
DOI: http://dx.doi.org/10.18801/jstei.090120.63
Title: Farmers’ extent of adaptation strategies towards salinity effects in agriculture
Authors: Md. Arifur Rahman Peal, Muhammad Humayun Kabir, Mohummed Shofi Ullah Mazumder, Prome Debnath and Avijit Biswas
DOI: http://dx.doi.org/10.18801/jstei.090120.63
Farmers’ extent of adaptation strategies towards salinity effects in agriculture
Abstract
Climate change has emerged as one of the greatest environmental challenges facing the world today. Salinity intrusion in soil is one of the major concerns of climate change, which mainly caused due to cyclone and sea level rise. Salinity influences unfavorable environment and hydrological situations that directly restrict the normal crop production and indirectly fall affects income which leads poor socio-economic status. The study was about extent of adaptation strategies of farmers’ who were struggling to adapt salinity effects in agriculture day by day. The purpose of the study was to describe the socio-economic profile of the salinity affected farmers in the study area; to determine farmers’ extent of adaptation strategies towards salinity effects in agriculture and to explore contributing relationship between the selected characteristics of the salinity affected farmers and their extent of adaptation strategies towards salinity effects in agriculture. The study was undertaken purposively in Kalapara upazila under Patuakhali district of Bangladesh. Validated and well-structured interview schedule (questionnaire) was used to collect data from 131 farmers. The findings showed that majority of the farmers (48.1 percent) had medium level adaptation towards salinity effects in agriculture. The results also showed that farmers’ age (.001**), educational background (.039*), farming experience (.033*), agricultural extension contact (.007**) and farmer’s category (.000**) were significant factors for farmers’ extent of adaptation strategies towards salinity effects in agriculture; and within this, age, agricultural extension contact and farmer’s category were the most significant contributing factors. It is concluded that, the study area’s farmers had an opportunity to enhance their knowledge through proper school or mass education that made them enthusiastic and interested to take risk and motivated them to come out from traditional practices in agriculture and using innovative adaptive strategies to cope with salinity effect on the agriculture sector.
Key Words: Agriculture, Farmers, Salinity, Adaptation and Climate Change.
Abstract
Climate change has emerged as one of the greatest environmental challenges facing the world today. Salinity intrusion in soil is one of the major concerns of climate change, which mainly caused due to cyclone and sea level rise. Salinity influences unfavorable environment and hydrological situations that directly restrict the normal crop production and indirectly fall affects income which leads poor socio-economic status. The study was about extent of adaptation strategies of farmers’ who were struggling to adapt salinity effects in agriculture day by day. The purpose of the study was to describe the socio-economic profile of the salinity affected farmers in the study area; to determine farmers’ extent of adaptation strategies towards salinity effects in agriculture and to explore contributing relationship between the selected characteristics of the salinity affected farmers and their extent of adaptation strategies towards salinity effects in agriculture. The study was undertaken purposively in Kalapara upazila under Patuakhali district of Bangladesh. Validated and well-structured interview schedule (questionnaire) was used to collect data from 131 farmers. The findings showed that majority of the farmers (48.1 percent) had medium level adaptation towards salinity effects in agriculture. The results also showed that farmers’ age (.001**), educational background (.039*), farming experience (.033*), agricultural extension contact (.007**) and farmer’s category (.000**) were significant factors for farmers’ extent of adaptation strategies towards salinity effects in agriculture; and within this, age, agricultural extension contact and farmer’s category were the most significant contributing factors. It is concluded that, the study area’s farmers had an opportunity to enhance their knowledge through proper school or mass education that made them enthusiastic and interested to take risk and motivated them to come out from traditional practices in agriculture and using innovative adaptive strategies to cope with salinity effect on the agriculture sector.
Key Words: Agriculture, Farmers, Salinity, Adaptation and Climate Change.
HOW TO CITE THIS ARTICLE
MLA
Peal, M. A. R. et al. “Farmers’ extent of adaptation strategies towards salinity effects in agriculture”. Journal of Science, Technology and Environment Informatics, 09(01) (2020): 618-628.
APA
Peal, M. A. R., Kabir, M. H., Mazumder, M. S. U., Debnath, P. and Biswas A. (2020). Farmers’ extent of adaptation strategies towards salinity effects in agriculture. Journal of Science, Technology and Environment Informatics, 09(01), 618-628.
Chicago
Peal, M. A. R., Kabir, M. H., Mazumder, M. S. U., Debnath, P. and Biswas, A. “Farmers’ extent of adaptation strategies towards salinity effects in agriculture”. Journal of Science, Technology and Environment Informatics, 09(01) (2020): 618-628.
Harvard
Peal, M. A. R., Kabir, M. H., Mazumder, M. S. U., Debnath, P. and Biswas, A. 2020. Farmers’ extent of adaptation strategies towards salinity effects in agriculture. Journal of Science, Technology and Environment Informatics, 09(01), pp. 618-628.
Vancouver
Peal, MAR, Kabir, MH, Mazumder, MSU, Debnath, P. Biswas, A. Farmers’ extent of adaptation strategies towards salinity effects in agriculture. Journal of Science, Technology and Environment Informatics, 2020 March 09(01): 618-628.
MLA
Peal, M. A. R. et al. “Farmers’ extent of adaptation strategies towards salinity effects in agriculture”. Journal of Science, Technology and Environment Informatics, 09(01) (2020): 618-628.
APA
Peal, M. A. R., Kabir, M. H., Mazumder, M. S. U., Debnath, P. and Biswas A. (2020). Farmers’ extent of adaptation strategies towards salinity effects in agriculture. Journal of Science, Technology and Environment Informatics, 09(01), 618-628.
Chicago
Peal, M. A. R., Kabir, M. H., Mazumder, M. S. U., Debnath, P. and Biswas, A. “Farmers’ extent of adaptation strategies towards salinity effects in agriculture”. Journal of Science, Technology and Environment Informatics, 09(01) (2020): 618-628.
Harvard
Peal, M. A. R., Kabir, M. H., Mazumder, M. S. U., Debnath, P. and Biswas, A. 2020. Farmers’ extent of adaptation strategies towards salinity effects in agriculture. Journal of Science, Technology and Environment Informatics, 09(01), pp. 618-628.
Vancouver
Peal, MAR, Kabir, MH, Mazumder, MSU, Debnath, P. Biswas, A. Farmers’ extent of adaptation strategies towards salinity effects in agriculture. Journal of Science, Technology and Environment Informatics, 2020 March 09(01): 618-628.
Article Type: Research Article | No. 64, 2020 | Country: Bangladesh | pp. 629-638 | Open Access
Title: BAU-STR dryer for rough rice dying at farmers and small trader’s level in Bangladesh
Authors: Md. Ashraful Alam, Chayan Kumer Saha, Md. Monjurul Alam, Mohammad Rezaul Manir, Md. Masud Rana and Md. Mamunur Rashid
DOI: http://dx.doi.org/10.18801/jstei.090120.64
Title: BAU-STR dryer for rough rice dying at farmers and small trader’s level in Bangladesh
Authors: Md. Ashraful Alam, Chayan Kumer Saha, Md. Monjurul Alam, Mohammad Rezaul Manir, Md. Masud Rana and Md. Mamunur Rashid
DOI: http://dx.doi.org/10.18801/jstei.090120.64
BAU-STR dryer for rough rice dying at farmers and small trader’s level in Bangladesh
Abstract
Mechanical intervention in each stage of post-harvest rice processing is essential to reduce cost and minimize post-harvest loss. Drying is an important post-harvest operation for long term storage, maintaining rice quality and reducing postharvest loss. BAU-STR was tested at the Department of Farm Power & Machinery, Bangladesh Agricultural University, Mymensingh during Boro and Aman 2015 harvesting seasons to understand the effectiveness and potential of using at farmers’ level as an alternative to sun drying. The temperature profile of the dryer proved that hot air temperature uniformly distributed throughout the dryer, and also the rough rice dried uniformly and reached at desired level of moisture content within 4 to 5 hours. The moisture removal rate was 2.4 and 2.0 %hr-1 during Boro and Aman season, respectively. The drying efficiency was found 55.3 and 48.6% during Boro and Aman season, respectively. The milling recovery was found more in BAU-STR (73.0±1.3%) compared to the sundried rough rice sample. Head rice yield was found 66.9% for BAU-STR and 63.9% for the sundry method. The germination rate was above 80% in both seasons for BAU-STR and sundried method. The drying cost of paddy was found Tk. 0.87 kg-1 and Tk. 0.74-1 for diesel and electricity operated dryer, respectively. In terms, benefit-cost ratio and payback period BAU-STR dryer are recommended for drying of rough rice at the farm level. The dryer could be used successfully as cost saving and user friendly technology to eliminate drying problems in the rural area of Bangladesh.
Key Words: BAU-STR dryer, Drying rate, Drying efficiency and Rough rice
Abstract
Mechanical intervention in each stage of post-harvest rice processing is essential to reduce cost and minimize post-harvest loss. Drying is an important post-harvest operation for long term storage, maintaining rice quality and reducing postharvest loss. BAU-STR was tested at the Department of Farm Power & Machinery, Bangladesh Agricultural University, Mymensingh during Boro and Aman 2015 harvesting seasons to understand the effectiveness and potential of using at farmers’ level as an alternative to sun drying. The temperature profile of the dryer proved that hot air temperature uniformly distributed throughout the dryer, and also the rough rice dried uniformly and reached at desired level of moisture content within 4 to 5 hours. The moisture removal rate was 2.4 and 2.0 %hr-1 during Boro and Aman season, respectively. The drying efficiency was found 55.3 and 48.6% during Boro and Aman season, respectively. The milling recovery was found more in BAU-STR (73.0±1.3%) compared to the sundried rough rice sample. Head rice yield was found 66.9% for BAU-STR and 63.9% for the sundry method. The germination rate was above 80% in both seasons for BAU-STR and sundried method. The drying cost of paddy was found Tk. 0.87 kg-1 and Tk. 0.74-1 for diesel and electricity operated dryer, respectively. In terms, benefit-cost ratio and payback period BAU-STR dryer are recommended for drying of rough rice at the farm level. The dryer could be used successfully as cost saving and user friendly technology to eliminate drying problems in the rural area of Bangladesh.
Key Words: BAU-STR dryer, Drying rate, Drying efficiency and Rough rice
HOW TO CITE THIS ARTICLE
MLA
Alam et al., “BAU-STR dryer for rough rice dying at farmers and small trader’s level in Bangladesh”. Journal of Science, Technology and Environment Informatics 09(01) (2020): 629-638.
APA
Alam, M. A., Saha, C. K., Alam, M. M., Manir, M. R., Rana, M. M. and Rashid, M. M. (2020). BAU-STR dryer for rough rice dying at farmers and small trader’s level in Bangladesh. Journal of Science, Technology and Environment Informatics, 09(01), 629-638.
Chicago
Alam, M. A., Saha, C. K., Alam, M. M., Manir, M. R., Rana, M. M. and Rashid, M. M. “BAU-STR dryer for rough rice dying at farmers and small trader’s level in Bangladesh”. Journal of Science, Technology and Environment Informatics 09(01) (2020): 629-638.
Harvard
Alam, M. A., Saha, C. K., Alam, M. M., Manir, M. R., Rana, M. M. and Rashid, M. M. 2020. BAU-STR dryer for rough rice dying at farmers and small trader’s level in Bangladesh. Journal of Science, Technology and Environment Informatics, 09(01), pp. 629-638.
Vancouver
Alam MA, Saha, CK, Alam, MM, Manir, MR, Rana, MM, Rashid, MM. BAU-STR dryer for rough rice dying at farmers and small trader’s level in Bangladesh. Journal of Science, Technology and Environment Informatics, 2020 March 09(01): 629-638.
MLA
Alam et al., “BAU-STR dryer for rough rice dying at farmers and small trader’s level in Bangladesh”. Journal of Science, Technology and Environment Informatics 09(01) (2020): 629-638.
APA
Alam, M. A., Saha, C. K., Alam, M. M., Manir, M. R., Rana, M. M. and Rashid, M. M. (2020). BAU-STR dryer for rough rice dying at farmers and small trader’s level in Bangladesh. Journal of Science, Technology and Environment Informatics, 09(01), 629-638.
Chicago
Alam, M. A., Saha, C. K., Alam, M. M., Manir, M. R., Rana, M. M. and Rashid, M. M. “BAU-STR dryer for rough rice dying at farmers and small trader’s level in Bangladesh”. Journal of Science, Technology and Environment Informatics 09(01) (2020): 629-638.
Harvard
Alam, M. A., Saha, C. K., Alam, M. M., Manir, M. R., Rana, M. M. and Rashid, M. M. 2020. BAU-STR dryer for rough rice dying at farmers and small trader’s level in Bangladesh. Journal of Science, Technology and Environment Informatics, 09(01), pp. 629-638.
Vancouver
Alam MA, Saha, CK, Alam, MM, Manir, MR, Rana, MM, Rashid, MM. BAU-STR dryer for rough rice dying at farmers and small trader’s level in Bangladesh. Journal of Science, Technology and Environment Informatics, 2020 March 09(01): 629-638.
Article Type: Research Article | No. 65, 2020 | Country: Bangladesh | pp. 639-648 | Open Access
Title: Assessment of water quality of a tributary canal of Chittagong city using water quality index
Authors: Mst. Farzana Rahman Zuthi, Rajon Dey and Swagatom Dasgupta
DOI: http://dx.doi.org/10.18801/jstei.090120.65
Title: Assessment of water quality of a tributary canal of Chittagong city using water quality index
Authors: Mst. Farzana Rahman Zuthi, Rajon Dey and Swagatom Dasgupta
DOI: http://dx.doi.org/10.18801/jstei.090120.65
Assessment of water quality of a tributary canal of Chittagong city using water quality index
Abstract
Water quality of a tributary canal falling into Karnafully River estuary of Chittagong, the port city of Bangladesh, has been assessed in the study. Water Quality Index (NSF-WQI) method of the National Sanitation Foundation of the United States of America was used for the assessment of the overall water quality of the canal flowing through the port city. A modified equation of water quality index (Mod-WQI) using Expert Choice (EC) software based on the Analytic Hierarchy Process (AHP) has also been proposed to effectively address the effects of different localized phenomena on the water quality of the canal. Besides experimental investigation, a physical and socio-economic survey has been performed to identify the usage and possible sources of pollution of the canal water. The survey identifies that the canal water has been conventionally used for irrigation, fishing, recreation etc. by the local community of the study area. However, the canal receives various untreated industrial toxic wastes as well as municipal wastes. The results of the study indicate that the quality of the canal water is bad according to NSF-WQI while that is of medium quality based on Mod-WQI. Therefore, it is recommended that the water of the canal, with its current quality, should not be used for irrigation, fishing, or other intended purposes. Industrial effluent must be treated before its disposal into the canal to sustain an ecological balance in the canal as well as in the river.
Key Words:Water Quality, Tributary Canal, Water Quality Index, Analytical Hierarchy Process (AHP) and Expert Choice (EC)
Abstract
Water quality of a tributary canal falling into Karnafully River estuary of Chittagong, the port city of Bangladesh, has been assessed in the study. Water Quality Index (NSF-WQI) method of the National Sanitation Foundation of the United States of America was used for the assessment of the overall water quality of the canal flowing through the port city. A modified equation of water quality index (Mod-WQI) using Expert Choice (EC) software based on the Analytic Hierarchy Process (AHP) has also been proposed to effectively address the effects of different localized phenomena on the water quality of the canal. Besides experimental investigation, a physical and socio-economic survey has been performed to identify the usage and possible sources of pollution of the canal water. The survey identifies that the canal water has been conventionally used for irrigation, fishing, recreation etc. by the local community of the study area. However, the canal receives various untreated industrial toxic wastes as well as municipal wastes. The results of the study indicate that the quality of the canal water is bad according to NSF-WQI while that is of medium quality based on Mod-WQI. Therefore, it is recommended that the water of the canal, with its current quality, should not be used for irrigation, fishing, or other intended purposes. Industrial effluent must be treated before its disposal into the canal to sustain an ecological balance in the canal as well as in the river.
Key Words:Water Quality, Tributary Canal, Water Quality Index, Analytical Hierarchy Process (AHP) and Expert Choice (EC)
HOW TO CITE THIS ARTICLE
MLA
Zuthi, M. F. R. et al. “Assessment of water quality of a tributary canal of Chittagong city using water quality index”. Journal of Science, Technology and Environment Informatics 09(01), (2020):639-648.
APA
Zuthi, M. F. R., Dey, R. and Dasgupta, S. (2020). Assessment of water quality of a tributary canal of Chittagong city using water quality index. Journal of Science, Technology and Environment Informatics, 09(01), 639-648.
Chicago
Zuthi, M. F. R., Dey, R. and Dasgupta, S. “Assessment of water quality of a tributary canal of Chittagong city using water quality index”. Journal of Science, Technology and Environment Informatics 09(01), (2020): 639-648.
Harvard
Zuthi, M. F. R., Dey, R., and Dasgupta, S. 2020. Assessment of water quality of a tributary canal of Chittagong city using water quality index. Journal of Science, Technology and Environment Informatics, 09(01), pp. 639-648.
Vancouver
Zuthi, MFR, Dey, R, and Dasgupta, S. Assessment of water quality of a tributary canal of Chittagong city using water quality index. Journal of Science, Technology and Environment Informatics. 2020 May 09(01): 639-648.
MLA
Zuthi, M. F. R. et al. “Assessment of water quality of a tributary canal of Chittagong city using water quality index”. Journal of Science, Technology and Environment Informatics 09(01), (2020):639-648.
APA
Zuthi, M. F. R., Dey, R. and Dasgupta, S. (2020). Assessment of water quality of a tributary canal of Chittagong city using water quality index. Journal of Science, Technology and Environment Informatics, 09(01), 639-648.
Chicago
Zuthi, M. F. R., Dey, R. and Dasgupta, S. “Assessment of water quality of a tributary canal of Chittagong city using water quality index”. Journal of Science, Technology and Environment Informatics 09(01), (2020): 639-648.
Harvard
Zuthi, M. F. R., Dey, R., and Dasgupta, S. 2020. Assessment of water quality of a tributary canal of Chittagong city using water quality index. Journal of Science, Technology and Environment Informatics, 09(01), pp. 639-648.
Vancouver
Zuthi, MFR, Dey, R, and Dasgupta, S. Assessment of water quality of a tributary canal of Chittagong city using water quality index. Journal of Science, Technology and Environment Informatics. 2020 May 09(01): 639-648.
Volume 09 - Issue 02 | Year of Publication: 2020
Article Type: Research Article | No. 66, 2020 | Country: Bangladesh | pp. 649-664 | Open Access
Title: Development of mixed fertilizer deep placement technology into soil simultaneously with mechanical rice seedling transplanting
Authors: Hossen, M. A., Bhuiyan, M. G. K., Rahman, M. M., Zaman M. K., Islam M. M. and Rahman M. A.
DOI: http://dx.doi.org/10.18801/jstei.090220.66
Title: Development of mixed fertilizer deep placement technology into soil simultaneously with mechanical rice seedling transplanting
Authors: Hossen, M. A., Bhuiyan, M. G. K., Rahman, M. M., Zaman M. K., Islam M. M. and Rahman M. A.
DOI: http://dx.doi.org/10.18801/jstei.090220.66
Development of mixed fertilizer deep placement technology into soil simultaneously with mechanical rice seedling transplanting
Abstract
A mixed fertilizer deep placement technology was designed and incorporated in the walking type rice transplanter (ARP-4UM) to place fertilizers into the soil (non-oxidized zone) and evaluated in the irrigated dry season (Boro) 2018-19 and the non-irrigated wet season (Aman) 2019 season. A spiral screw was used in the fertilizer chamber as a metering device to receive and dispense the desired amount of fertilizer during field operation. Engine power of the rice transplanter(1800 rpm) was conveyed to the metering device of the applicator with the arrangement of a belt-pulley, worm gearing, shaft-bearing, universal joint and bevel gear with engage-disengage facility resulting 23 rpm of the metering device of the applicator. Spiral screw type metering device was connected with the main shaft of the applicator to collect mixed fertilizer from hopper and dispense to the output channel of the applicator at a desired rate based on variety and seasons. A measuring scale mentioning 1 to 8 numbers was used for ease of fertilizer rate control. Fertilizer dispensing rate increased with the increase of number of the lever position. Developed rice transplanter cum mixed fertilizer applicator (RTFA) was evaluated in the laboratory, soil bin, research field and farmer’s field also. In the lab test, it was found that fertilizer control lever can control fertilizer dispensing rate according to the pre-calibration. In the soil bin test, it was observed that mixture fertilizer dispensed uniformly in the furrow and covered effectively. Agitator, which was used in the fertilizer hopper, rotated smoothly to prevent the bonding or clogging of mixed fertilizer during dispensing in operation. Power transmission from engine to the metering device of the applicator through different stages was also found smooth, safe and heavy duty. In Aman 2019 season, the developed walking type rice transplanter was evaluated in 07 different locations of the country while it was evaluated in 02 locations during Boro 2018-19 season. In Boro 2018-19 season, average dispensing rate of fertilizer in lever position 4 was calibrated 67.94 g/rotation of the rice transplanter driving wheels based on recommended dose of fertilizer while average deviation of fertilizer dispensing rate was about +3.72% due to clogging of the dispensing channel of the transplanter during operation. In an average of two trials, theoretical and actual field capacity and field efficiency of the RTFA was found 0.20 ha/h, 0.0.12 ha/h and 58.95% while it was 0.20 ha/h, 0.13 ha/h and 64.10% of the rice transplanter without fertilizer deep placement mechanism respectively. During field trials in Aman 2019 season, average dispensing rate of fertilizer in lever position 3 was calibrated 37.8 g/rotation of the rice transplanter driving wheels based on recommended dose of fertilizer while average deviation of fertilizer dispensing rate was about -4.86% due to slippage of the wheels during operation. In an average of seven trials, theoretical and actual field capacity and field efficiency of the RTFA was found 0.19 ha/h, 0.23 ha/h and 82.2% while it was 0.21 ha/h, 0.26 ha/h and 80.3% of the rice transplanter without fertilizer deep placement mechanism respectively.
Key Words: Design, Power transmission, Calibration, Fertilizer dispensing and Field evaluation.
Abstract
A mixed fertilizer deep placement technology was designed and incorporated in the walking type rice transplanter (ARP-4UM) to place fertilizers into the soil (non-oxidized zone) and evaluated in the irrigated dry season (Boro) 2018-19 and the non-irrigated wet season (Aman) 2019 season. A spiral screw was used in the fertilizer chamber as a metering device to receive and dispense the desired amount of fertilizer during field operation. Engine power of the rice transplanter(1800 rpm) was conveyed to the metering device of the applicator with the arrangement of a belt-pulley, worm gearing, shaft-bearing, universal joint and bevel gear with engage-disengage facility resulting 23 rpm of the metering device of the applicator. Spiral screw type metering device was connected with the main shaft of the applicator to collect mixed fertilizer from hopper and dispense to the output channel of the applicator at a desired rate based on variety and seasons. A measuring scale mentioning 1 to 8 numbers was used for ease of fertilizer rate control. Fertilizer dispensing rate increased with the increase of number of the lever position. Developed rice transplanter cum mixed fertilizer applicator (RTFA) was evaluated in the laboratory, soil bin, research field and farmer’s field also. In the lab test, it was found that fertilizer control lever can control fertilizer dispensing rate according to the pre-calibration. In the soil bin test, it was observed that mixture fertilizer dispensed uniformly in the furrow and covered effectively. Agitator, which was used in the fertilizer hopper, rotated smoothly to prevent the bonding or clogging of mixed fertilizer during dispensing in operation. Power transmission from engine to the metering device of the applicator through different stages was also found smooth, safe and heavy duty. In Aman 2019 season, the developed walking type rice transplanter was evaluated in 07 different locations of the country while it was evaluated in 02 locations during Boro 2018-19 season. In Boro 2018-19 season, average dispensing rate of fertilizer in lever position 4 was calibrated 67.94 g/rotation of the rice transplanter driving wheels based on recommended dose of fertilizer while average deviation of fertilizer dispensing rate was about +3.72% due to clogging of the dispensing channel of the transplanter during operation. In an average of two trials, theoretical and actual field capacity and field efficiency of the RTFA was found 0.20 ha/h, 0.0.12 ha/h and 58.95% while it was 0.20 ha/h, 0.13 ha/h and 64.10% of the rice transplanter without fertilizer deep placement mechanism respectively. During field trials in Aman 2019 season, average dispensing rate of fertilizer in lever position 3 was calibrated 37.8 g/rotation of the rice transplanter driving wheels based on recommended dose of fertilizer while average deviation of fertilizer dispensing rate was about -4.86% due to slippage of the wheels during operation. In an average of seven trials, theoretical and actual field capacity and field efficiency of the RTFA was found 0.19 ha/h, 0.23 ha/h and 82.2% while it was 0.21 ha/h, 0.26 ha/h and 80.3% of the rice transplanter without fertilizer deep placement mechanism respectively.
Key Words: Design, Power transmission, Calibration, Fertilizer dispensing and Field evaluation.
HOW TO CITE THIS ARTICLE
MLA
Hossen et al. “Development of mixed fertilizer deep placement technology into soil simultaneously with mechanical rice seedling transplanting.” Journal of Science, Technology and Environment Informatics, 09(02) (2020): 649-644.
APA
Hossen, M. A., Bhuiyan, M. G. K., Rahman, M. M., Zaman M. K., Islam M. M. and Rahman M. A. (2020). Development of mixed fertilizer deep placement technology into soil simultaneously with mechanical rice seedling transplanting. Journal of Science, Technology and Environment Informatics, 09(02), 649-644.
Chicago
Hossen, M. A., Bhuiyan, M. G. K., Rahman, M. M., Zaman M. K., Islam M. M. and Rahman M. A. “Development of mixed fertilizer deep placement technology into soil simultaneously with mechanical rice seedling transplanting.” Journal of Science, Technology and Environment Informatics, 09(02), (2020): 649-644
Harvard
Hossen, M. A., Bhuiyan, M. G. K., Rahman, M. M., Zaman M. K., Islam M. M. and Rahman M. A. 2020. Development of mixed fertilizer deep placement technology into soil simultaneously with mechanical rice seedling transplanting. Journal of Science, Technology and Environment Informatics, 09(02), pp. 649-644.
Vancouver
Hossen, MA, Bhuiyan, MGK, Rahman, MM, Zaman MK, Islam MM and Rahman MA. Development of mixed fertilizer deep placement technology into soil simultaneously with mechanical rice seedling transplanting. Journal of Science, Technology and Environment Informatics, 2020 June 09(02), 649-644.
MLA
Hossen et al. “Development of mixed fertilizer deep placement technology into soil simultaneously with mechanical rice seedling transplanting.” Journal of Science, Technology and Environment Informatics, 09(02) (2020): 649-644.
APA
Hossen, M. A., Bhuiyan, M. G. K., Rahman, M. M., Zaman M. K., Islam M. M. and Rahman M. A. (2020). Development of mixed fertilizer deep placement technology into soil simultaneously with mechanical rice seedling transplanting. Journal of Science, Technology and Environment Informatics, 09(02), 649-644.
Chicago
Hossen, M. A., Bhuiyan, M. G. K., Rahman, M. M., Zaman M. K., Islam M. M. and Rahman M. A. “Development of mixed fertilizer deep placement technology into soil simultaneously with mechanical rice seedling transplanting.” Journal of Science, Technology and Environment Informatics, 09(02), (2020): 649-644
Harvard
Hossen, M. A., Bhuiyan, M. G. K., Rahman, M. M., Zaman M. K., Islam M. M. and Rahman M. A. 2020. Development of mixed fertilizer deep placement technology into soil simultaneously with mechanical rice seedling transplanting. Journal of Science, Technology and Environment Informatics, 09(02), pp. 649-644.
Vancouver
Hossen, MA, Bhuiyan, MGK, Rahman, MM, Zaman MK, Islam MM and Rahman MA. Development of mixed fertilizer deep placement technology into soil simultaneously with mechanical rice seedling transplanting. Journal of Science, Technology and Environment Informatics, 2020 June 09(02), 649-644.
Article Type: Research Article | No. 67, 2020 | Country: Bangladesh | pp. 665-672 | Open Access
Title: Analysis of Wisconsin Breast Cancer original dataset using data mining and machine learning algorithms for breast cancer prediction
Authors: Ahmed, M. T., Imtiaz, M. N. and Karmakar A.
DOI: http://dx.doi.org/10.18801/jstei.090220.67
Title: Analysis of Wisconsin Breast Cancer original dataset using data mining and machine learning algorithms for breast cancer prediction
Authors: Ahmed, M. T., Imtiaz, M. N. and Karmakar A.
DOI: http://dx.doi.org/10.18801/jstei.090220.67
Analysis of Wisconsin Breast Cancer original dataset using data mining and machine learning algorithms for breast cancer prediction
Abstract
Breast cancer has become a concerning issue in recent years. The rate of women having breast cancer seemed to be increased significantly. The disease has become life-taking if it is not diagnosed at all and in many cases, separation of limbs is the only way to prevent it, if it is diagnosed at the last stage. As a result, a good predictor of this issue can be fruitful in successful diagnosis. The main focus of this paper is to perform different machine learning classification algorithms to correctly predict the target class and improve it by checking the effectiveness of particular attributes of original Wisconsin Breast Cancer dataset (WDBC) for breast cancer diagnosis prediction. After running classifiers on the dataset, the comparison was made among them to find the best performing algorithm and then effective attributes of dataset were analyzed to improve performance further. In this paper, we have used algorithms- Naïve Bayes, Support Vector Machine (SVM), Multilayer Perceptron (MLP), J48 and Random Forest. Here, for comparing the result, we have used performance metrics: Accuracy, Kappa statistic, precision, recall, F-measure, MCC, ROC area, PRC area. Based on the values of performance metrics, Naïve Bayes classifier gave the best result among the algorithms used. Moreover, we also tried to optimize our proposed model and made a comparison among state-of-the-art approaches proposed by different researchers, on the same dataset.
Key Words: Classification, Decision tree, MLP, WDBC, Naïve bayes and SVM
Abstract
Breast cancer has become a concerning issue in recent years. The rate of women having breast cancer seemed to be increased significantly. The disease has become life-taking if it is not diagnosed at all and in many cases, separation of limbs is the only way to prevent it, if it is diagnosed at the last stage. As a result, a good predictor of this issue can be fruitful in successful diagnosis. The main focus of this paper is to perform different machine learning classification algorithms to correctly predict the target class and improve it by checking the effectiveness of particular attributes of original Wisconsin Breast Cancer dataset (WDBC) for breast cancer diagnosis prediction. After running classifiers on the dataset, the comparison was made among them to find the best performing algorithm and then effective attributes of dataset were analyzed to improve performance further. In this paper, we have used algorithms- Naïve Bayes, Support Vector Machine (SVM), Multilayer Perceptron (MLP), J48 and Random Forest. Here, for comparing the result, we have used performance metrics: Accuracy, Kappa statistic, precision, recall, F-measure, MCC, ROC area, PRC area. Based on the values of performance metrics, Naïve Bayes classifier gave the best result among the algorithms used. Moreover, we also tried to optimize our proposed model and made a comparison among state-of-the-art approaches proposed by different researchers, on the same dataset.
Key Words: Classification, Decision tree, MLP, WDBC, Naïve bayes and SVM
HOW TO CITE THIS ARTICLE
MLA
Ahmed, et al. “Analysis of Wisconsin Breast cancer original dataset using data mining and machine learning algorithms for breast cancer prediction.” Journal of Science, Technology and Environment Informatics, 09(02) (2020): 665-672.
APA
Ahmed, M. T., Imtiaz, M. N. and Karmakar A. (2020). Analysis of Wisconsin Breast cancer original dataset using data mining and machine learning algorithms for breast cancer prediction. Journal of Science, Technology and Environment Informatics, 09(02), 665-672.
Chicago
Ahmed, M. T., Imtiaz, M. N. and Karmakar A. “Analysis of Wisconsin Breast cancer original dataset using data mining and machine learning algorithms for breast cancer prediction” Journal of Science, Technology and Environment Informatics, 09(02), (2020): 665-672.
Harvard
Ahmed, M. T., Imtiaz, M. N. and Karmakar A. 2020. Analysis of Wisconsin Breast cancer original dataset using data mining and machine learning algorithms for breast cancer prediction. Journal of Science, Technology and Environment Informatics, 09(02), pp. 665-672.
Vancouver
Ahmed, MT, Imtiaz, MN and Karmakar, A. Analysis of Wisconsin Breast cancer original dataset using data mining and machine learning algorithms for breast cancer prediction. Journal of Science, Technology and Environment Informatics, 2020 July 09(02), 665-672.
MLA
Ahmed, et al. “Analysis of Wisconsin Breast cancer original dataset using data mining and machine learning algorithms for breast cancer prediction.” Journal of Science, Technology and Environment Informatics, 09(02) (2020): 665-672.
APA
Ahmed, M. T., Imtiaz, M. N. and Karmakar A. (2020). Analysis of Wisconsin Breast cancer original dataset using data mining and machine learning algorithms for breast cancer prediction. Journal of Science, Technology and Environment Informatics, 09(02), 665-672.
Chicago
Ahmed, M. T., Imtiaz, M. N. and Karmakar A. “Analysis of Wisconsin Breast cancer original dataset using data mining and machine learning algorithms for breast cancer prediction” Journal of Science, Technology and Environment Informatics, 09(02), (2020): 665-672.
Harvard
Ahmed, M. T., Imtiaz, M. N. and Karmakar A. 2020. Analysis of Wisconsin Breast cancer original dataset using data mining and machine learning algorithms for breast cancer prediction. Journal of Science, Technology and Environment Informatics, 09(02), pp. 665-672.
Vancouver
Ahmed, MT, Imtiaz, MN and Karmakar, A. Analysis of Wisconsin Breast cancer original dataset using data mining and machine learning algorithms for breast cancer prediction. Journal of Science, Technology and Environment Informatics, 2020 July 09(02), 665-672.