Crop Yield Prediction App

Authors

  • Ms.Mande S.R Computer Engineering, Jaihind Polytechnic, Kuran
  • Ms. Thorat S.E Computer Engineering, Jaihind Polytechnic, Kuran
  • Ms. Momin S.S Computer Engineering, Jaihind Polytechnic, Kuran
  • Ms .Momin A.M Computer Engineering, Jaihind Polytechnic, Kuran
  • Mr.Gaikwad M.S Computer Engineering, Jaihind Polytechnic, Kuran

Keywords:

agriculture yield growth, agriculture yield prediction, food security, weather forecasting, economic growth

Abstract

India’s economic growth mainly depends on agriculture yield production and their related agro industry
products. The prediction of agriculture yield is the toughest task for agricultural departments across the world which
directly as well as indirectly affects on economic growth rate of country. The agriculture yield depends on various
factors. Particularly countries like India, majority of agriculture growth depends on weather forecasting, area under
plantation, amount of importing/ exporting of the crop which is highly unpredictable [1].
Therefore, Farmers are struggling to produce the yield and to get desirable prize or rates for their products so;
we are creating an agriculture data. This data could be gathered, stored and analyzed for useful information [2].
Estimating the yield is essential to optimize good prize to crop production and distribution. The main aim of
developing our app is to providing a new crop yield prediction method based on data analysis technique, which differs
with traditional methods in the structure of handling data.[4].

Published

2022-08-23

How to Cite

Ms.Mande S.R, Ms. Thorat S.E, Ms. Momin S.S, Ms .Momin A.M, & Mr.Gaikwad M.S. (2022). Crop Yield Prediction App. International Journal of Advance Engineering and Research Development (IJAERD), 5(16), -. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/6201