Volume 25, Issue 4, March 2019, Pages 1235–1240
Md Nazirul Islam Sarker1, Md Shahidul Islam2, Md Arshad Ali3, Md Saiful Islam4, Md Abdus Salam5, and S M Hasan Mahmud6
1 School of Public Administration, Sichuan University, Chengdu 610065, China
2 Department of Plant Pathology, Yunnan Agricultural University, Kunming, China
3 Institute of Biotechnology, Zhejiang University, Hangzhou, China
4 Department of Soil Science, Patuakhali Science and Technology University, Patuakhali-8602, Bangladesh
5 Department of Agricultural Economics, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Bangladesh
6 Department of Software Engineering, Daffodil International University, Dhaka, Bangladesh
Original language: English
Copyright © 2019 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Digitalization of agriculture may be a solution to feed a huge growing population in the future. Application of big data is a key tool to digitalize the agriculture sector. Though there is a long debate on its applicability to agriculture, this study aims to address how big data technology contribute to digital agriculture in terms of sustainable farm management. The study uses an extensive review of current research work and studies in agriculture for exploring the best and compatible practices which can help farmers at field level for increasing production and improving quality. This study reveals several available big data technologies and practices in agriculture for solving the current problems and future challenges at the field level. The study reveals that application of big data technologies in agriculture is growing but still at low level. It also explores that there are a few technologies used for crop production, plant protection, livestock production, fisheries, post-harvest management and market development. The study finds out some challenges such as privacy of data, data availability, quality and openness, financial investment, lack of expertise and context specific technology. The study recommends that a large-scale adoption of agricultural big data technologies require government initiatives, a public-private partnership, the openness of data, financial investment and regional basis research work.
Author Keywords: Digital agriculture, smart farming, precision agriculture, big data, agricultural sustainability.
Md Nazirul Islam Sarker1, Md Shahidul Islam2, Md Arshad Ali3, Md Saiful Islam4, Md Abdus Salam5, and S M Hasan Mahmud6
1 School of Public Administration, Sichuan University, Chengdu 610065, China
2 Department of Plant Pathology, Yunnan Agricultural University, Kunming, China
3 Institute of Biotechnology, Zhejiang University, Hangzhou, China
4 Department of Soil Science, Patuakhali Science and Technology University, Patuakhali-8602, Bangladesh
5 Department of Agricultural Economics, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Bangladesh
6 Department of Software Engineering, Daffodil International University, Dhaka, Bangladesh
Original language: English
Copyright © 2019 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Digitalization of agriculture may be a solution to feed a huge growing population in the future. Application of big data is a key tool to digitalize the agriculture sector. Though there is a long debate on its applicability to agriculture, this study aims to address how big data technology contribute to digital agriculture in terms of sustainable farm management. The study uses an extensive review of current research work and studies in agriculture for exploring the best and compatible practices which can help farmers at field level for increasing production and improving quality. This study reveals several available big data technologies and practices in agriculture for solving the current problems and future challenges at the field level. The study reveals that application of big data technologies in agriculture is growing but still at low level. It also explores that there are a few technologies used for crop production, plant protection, livestock production, fisheries, post-harvest management and market development. The study finds out some challenges such as privacy of data, data availability, quality and openness, financial investment, lack of expertise and context specific technology. The study recommends that a large-scale adoption of agricultural big data technologies require government initiatives, a public-private partnership, the openness of data, financial investment and regional basis research work.
Author Keywords: Digital agriculture, smart farming, precision agriculture, big data, agricultural sustainability.
How to Cite this Article
Md Nazirul Islam Sarker, Md Shahidul Islam, Md Arshad Ali, Md Saiful Islam, Md Abdus Salam, and S M Hasan Mahmud, “Promoting digital agriculture through big data for sustainable farm management,” International Journal of Innovation and Applied Studies, vol. 25, no. 4, pp. 1235–1240, March 2019.
