Design and Analysis of a Prediction Model for Crop Yield Production in Agriculture
Dr. Yojna Arora , Ms. Ashima Gambhir
Big Data Analytics has its importance in almost all the real time applications ranging from Science & Technology to Market Prediction to Weather forecasting and many more. One such important area where analytics played a crucial role is Agriculture. Understanding the previously available agricultural data and studying the underlying pattern can help in making accurate future predictions. A well-known fact that the majority of population (≥55%) in India is into agriculture, the analytics and prediction can be really useful to them. Various factors are to be considered which have direct impact on the production of the crops. The use of technology in agriculture has increased in recent year and data analytics is one such trend that has penetrated into the agriculture field. In this paper, the data of Government Crop Production is analyzed on various parameters which will help in predicting the Crop Yield.
Big Data, Data Mining, Data Analytics, Agriculture, Prediction Model, Crop Prediction, Crop Yield
Abhishek, K., Singh, M., Ghosh, S., and Anand, A. (2012). Weather forecasting model using artificial neural network. Procedia Technol. 4, 311–318. doi: 10.1016/j.protcy.2012.05.047.
 Saeed Khaki, LizhiWang,” Crop Yield Prediction Using Deep Neural Networks, Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, United States.
 Liu, J., Goering, C. E., and Tian, L. (2001). A neural network for setting target corn yields. Trans. ASAE 44, 705. doi: 10.13031/2013.6097
 Michael gurstein, “A decision support system to assist the rural poor in Bangladesh”, IEEE TECHNOLOGY AND SOCIETY MAGAZINES, September 2013.
 Luke Bornn, James V. Zidek, “Efficient stabilization of crop yield prediction in the Canadian Prairies”, Elsevier, vol. 0, no. 0, pp. 223-232, 2012
 Yung-Hsing peng, Chin-Shun Hsu, and Po-Chuang Huang, “Developing Crop Price Forecasting Service Using Open Data from Taiwan Markets” Nov. 20-22, 2015.
 Yojna Arora, Abhishek Singhal & Dr. Abhay Bansal,”A Study of Applications of RBF Network”, International Journal of CmputerApplications, Volume 94, Issue 2, 2014.
[Dr. Yojna Arora , Ms. Ashima Gambhir (2020) Design and Analysis of a Prediction Model for Crop Yield Production in Agriculture IJIRCST Vol-8 Issue-5 Page No-361-364] (ISSN 2347 - 5552). www.ijircst.org
Dr. Yojna Arora
Department of Computer Science & Engineering, Amity University, Gurugram, Haryana, India (email: Yojana183@gmail.com )