Open AccessPREDICTION OF CROP YIELD USING MACHINE LEARNING
Author(s) -
K. N. Chaudhary,
Farhana Kausar
Publication year - 2020
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2020.v04i09.019
Subject(s) - yield (engineering) , crop , agricultural engineering , machine learning , computer science , artificial intelligence , agronomy , materials science , engineering , biology , metallurgy
Looking at the current situation faced by farmers, there is an increase in suicide rate over the years. Main reason behind it includes poverty, unpredictable weather, financial problem, parental issue and frequent change in Indian government norms. Education also plays an important role because due to lack of education they are not aware of the soil quality and the climatic change and sometimes farmer was not aware about the feasible crops. Because of lack of knowledge they are not aware of the soil quality, soil nutrients and soil composition. This paper focused on prediction of crop based on the existing data by Artificial Neural Network. We are implementing Artificial Neural Network which is used for classification and prediction as most of intense computation takes place during training phase only, there is no requires of testing