Cropland Mapping Expansion for Production Forecast: Rainfall, Relative Humidity and Temperature Estimation

Full Text (PDF, 1429KB), PP.25-40

Views: 0 Downloads: 0


Prodipto Bishnu Angon 1,* Imrus Salehin 2 Md. Mahbubur Rahman Khan 3 Sujit Mondal 4

1. Faculty of Agriculture, Bangladesh Agricultural University, Mymensingh, Bangladesh

2. Department of CSE, Daffodil International University, Dhaka, 1207, Bangladesh

3. Department of Food and Process Engineering, Hajee Mohammad Danesh Science & Technology University, Dinajpur, Bangladesh

4. Faculty of Agriculture. Patuakhali Science and Technology University, Patuakhali, Bangladesh

* Corresponding author.


Received: 27 Jul. 2021 / Revised: 11 Aug. 2021 / Accepted: 26 Aug. 2021 / Published: 8 Oct. 2021

Index Terms

Cropland Mapping, Data Science, Agriculture. Forecasting, Production system, Rainfall.


In the modern era agriculture development is the highly contribute field of food security. Data Science is one of the top analysis experimental methods for forecasting and mapping synchronize. In our study, we experiment with three major parameters (Rainfall, Relative Humidity and Temperature) that can be affected crop production rate as well as area-based mapping. To complete the procedure, the cluster groping and prediction system has created a machine learning BOT combined analysis system. Bangladesh and its 13 areas with 46 years of data have visualized with proper analysis and build up a 2D map of each separate production area. Multi Linear Regression (MLR) and KMean Clustering is the main key point algorithm for the production analysis. Experiment analyzing, we can see that some elements of our environment are closely associated with the productivity of the crop. An untactful environmental change on parameters (Rainfall, Humidity, and Temperature) reduces agricultural productivity by 32-38%. Developed model accuracy 91.25% forecasting methodological analysis for production mapping and prediction. Extreme population food security has ensured ICT and Agriculture combine BOT & EVPM method is essential for the scientific world. This study will allow farmers to choose the proper crop in the right environmental condition, which will play a key role in strengthening the economy of the country.

Cite This Paper

Prodipto Bishnu Angon, Imrus Salehin, Md. Mahbubur Rahman Khan, Sujit Mondal, " Cropland Mapping Expansion for Production Forecast: Rainfall, Relative Humidity and Temperature Estimation ", International Journal of Engineering and Manufacturing (IJEM), Vol.11, No.5, pp. 25-40, 2021. DOI: 10.5815/ijem.2021.05.03


[1]Salau, O.R., Momoh, M., Olaleye, O.A. and Owoeye, R.S., 2016. Effects of changes in temperature, rainfall and relative humidity on banana production in Ondo State, Nigeria. World Scientific News, (44), pp.143-154.

[2]Al Mamun, M.R., Shahed, A.B.M. and Tamanna, T.A., 2018. Identification of Hindrances to Adapt Agricultural Machinery in Selected Areas of Bangladesh.

[3]Islam, M.S. and Shirazul, D., 2009, October. Farm mechanization for sustainable agriculture in Bangladesh: Problems and prospects. In 5th APCAEM Technical Committee Meeting and the Expert Group Meeting on Application of Agricultural Machinery for Sustainable Agriculture. United Nations Asian and Pacific Centre for Agricultural Engineering and Machinery, Manila, Philippines (pp. 14-16).

[4]Vallat, A., Gu, H. and Dorn, S., 2005. How rainfall, relative humidity and temperature influence volatile emissions from apple trees in situ. Phytochemistry, 66(13), pp.1540-1550.

[5]Hastorf, C.A., 1988. The use of paleoethnobotanical data in prehistoric studies of crop production, processing, and consumption. Current paleoethnobotany: Analytical methods and cultural interpretations of archaeological plant remains, pp.119-144.

[6]Abou-Hadid, A.F., 1997, November. The use of weather data for crop production and protection. In International Symposium Greenhouse Management for Better Yield & Quality in Mild Winter Climates 491 (pp. 169-176).

[7]Rahman, S. and Anik, A.R., 2020. Productivity and efficiency impact of climate change and agroecology on Bangladesh agriculture. Land Use Policy, 94, p.104507.

[8]Sikder, R. and Xiaoying, J., 2014. Climate change impact and agriculture of Bangladesh. Journal of Environment and Earth Science, 4(1), pp.35-40.

[9]Rahman, M., 2017. Role of agriculture in Bangladesh economy: uncovering the problems and challenges. International Journal of Business and Management Invention, 6(7).

[10]Von Braun, J., De Haen, H. and Blanken, J., 1991. Commercialization of agriculture under population pressure: Effects on production, consumption, and nutrition in Rwanda (Vol. 85). Intl Food Policy Res Inst.

[11]Ndamani, F. and Watanabe, T., 2015. Influences of rainfall on crop production and suggestions for adaptation. International journal of agricultural sciences, 5(1), pp.367-374.

[12]Ramírez Villegas, J. and Thornton, P.K., 2015. Climate change impacts on African crop production. CCAFS Working Paper.

[13]David Makowski, Elodie Marajo-Petitzon, Jean-Louis Durand, Tamara Ben-Ari., 2020, Quantitative synthesis of temperature, CO2, rainfall, and adaptation effects on global crop yields. European Journal of Agronomy, Volume 115, 126041

[14]Kukal, M.S., Irmak, S., 2018, Climate-Driven Crop Yield and Yield Variability and Climate Change Impacts on the U.S. Great Plains Agricultural Production. Sci Rep 8, 3450.

[15]Kogo, B.K., Kumar, L. &Koech, R., 2021, Climate change and variability in Kenya: a review of impacts on agriculture and food security. Environ Dev Sustain 23, 23–43.

[16]Pathak TB, Maskey ML, Dahlberg JA, Kearns F, Bali KM, Zaccaria D. 2018, Climate Change Trends and Impacts on California Agriculture: A Detailed Review. Agronomy; 8(3):25.

[17]Rahman, M.A., Kang, S., Nagabhatla, N. et al., 2017, Impacts of temperature and rainfall variation on rice productivity in major ecosystems of Bangladesh. Agric& Food Secur 6, 10.

[18]AshwaniPareek, Om ParkashDhankher, Christine H Foyer, 7 January 2020, Mitigating the impact of climate change on plant productivity and ecosystem sustainability. Journal of Experimental Botany, Volume 71, Issue 2, Pages 451–456.

[19]Sanzidur Rahman, Asif Reza Anik, 2020, Productivity and efficiency impact of climate change and agroec ology on Bangladesh agriculture, Land Use Policy, Volume 94, 104507

[20]Ali, S., Liu, Y., Ishaq, M., Shah, T., Ilyas, A. and Din, I.U., 2017. Climate change and its impact on the yield of major food crops: Evidence from Pakistan. Foods, 6(6), p.39.

[21]Zhao, C., Liu, B., Piao, S., Wang, X., Lobell, D.B., Huang, Y., Huang, M., Yao, Y., Bassu, S., Ciais, P. and Durand, J.L., 2017. Temperature increase reduces global yields of major crops in four independent estimates. Proceedings of the National Academy of Sciences, 114(35), pp.9326-9331.

[22]Islam, M.S., Roy, S., Afrin, R. and Mia, M.Y., 2020. Influence of climate-induced disasters and climatic variability on cropping pattern and crop production in Bangladesh. Environment, Development, and Sustainability, 22(7), pp.6709-6726.

[23]Zhang, J., Ren, W., An, P., Pan, Z., Wang, L., Dong, Z., He, D., Yang, J., Pan, S. and Tian, H., 2015. Responses of crop water use efficiency to climate change and agronomic measures in the semiarid area of northern China. PloS one, 10(9), p.e0137409.

[24]Barma, N.C.D., Hossain, A., Hakim, M.A., Mottaleb, K.A., Alam, M.A., Reza, M.M.A. and Rohman, M.M., 2019. Progress and challenges of wheat production in the era of climate change: a Bangladesh perspective. In Wheat production in changing environments (pp. 615-679). Springer, Singapore.

[25]Hossain, M.S., Arshad, M., Qian, L., Kächele, H., Khan, I., Islam, M.D.I. and Mahboob, M.G., 2020. Climate change impacts farmland value in Bangladesh. Ecological indicators, 112, p.106181.

[26]Yadav, P., Jaiswal, D.K. and Sinha, R.K., 2021. Climate change: Impact on agricultural production and sustainable mitigation. In Global Climate Change (pp. 151-174). Elsevier.

[27]Von Storch, H. and Stehr, N., 2006. Anthropogenic climate change: a reason for concern since the 18th century and earlier. GeografiskaAnnaler: Series A, Physical Geography, 88(2), pp.107-113.

[28]Rojas, J.A.R., Kery, M.B., Rosenthal, S. and Dey, A., 2017, October. Sampling techniques to improve big data exploration. In 2017 IEEE 7th symposium on large data analysis and visualization (LDAV) (pp. 26-35). IEEE.

[29]Allen, D.W. and Lueck, D., 2004. The nature of the farm: contracts, risk, and organization in agriculture. MIT press.

[30]Monteith, J.L., 1977. Climate and the efficiency of crop production in Britain. Philosophical Transactions of the Royal Society of London. B, Biological Sciences, 281(980), pp.277-294.

[31]Ahmad, J., Alam, D. and Haseen, M.S., 2011. Impact of climate change on agriculture and food security in India. International Journal of Agriculture, Environment and Biotechnology, 4(2), pp.129-137.

[32]Giri, A.K., Banerjee, B.N., Mukherjee, A.K. and Sain, K., 1979. Impact of Variations in Rainfall and Weather Conditions on Production of Crops in West Bengal. Economic Affairs (Calcutta), 24(1), p.57.

[33]Sarkar, S. and Majumdar, B., 2016. Present Status of Jute Production and Technological and Social Interventions Needed for Making Jute Agriculture Sustainable and Remunerative in West Bengal.

[34]Islam, M.M. and Ali, M.S., 2017. Economic importance of jute in Bangladesh: production, research achievements and diversification. International Journal of Economic Theory and Application, 4(6), pp.45-57.

[35]I. Salehin, I. M. Talha, M. Mehedi Hasan, S. T. Dip, M. Saifuzzaman and N. N. Moon, "An Artificial Intelligence Based Rainfall Prediction Using LSTM and Neural Network," 2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), 2020, pp. 5-8, doi: 10.1109/WIECON-ECE52138.2020.9398022.

[36]I. Salehin, I. M. Talha, M. Saifuzzaman, N. N. Moon and F. N. Nur, "An Advanced Method of Treating Agricultural Crops Using Image Processing Algorithms and Image Data Processing Systems," 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA), 2020, pp. 720-724, doi: 10.1109/ICCCA49541.2020.9250839.

[37]M. Talha, I. Salehin, S. C. Debnath, M. Saifuzzaman, N. N. Moon and F. N. Nur, "Human Behaviour Impact to Use of Smartphones with the Python Implementation Using Naive Bayesian," 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020, pp. 1-6, doi: 10.1109/ICCCNT49239.2020.9225620.