Open AccessCrop Selection and it’s Yield Prediction
Author(s) -
A. Suresh,
K. Monisha,
R. Pavithra,
MORACHAN Y.B
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f9191.038620
Subject(s) - agriculture , yield (engineering) , selection (genetic algorithm) , agricultural engineering , crop , crop yield , field (mathematics) , decision tree , agroforestry , computer science , mathematics , machine learning , agronomy , engineering , geography , environmental science , forestry , materials science , archaeology , pure mathematics , metallurgy , biology
The field of Agriculture plays a major role in the Indian economy. This sector helps to meet the basic needs of human and their civilization. Hence agriculture would be the enterprise in the globe. Considering the parameters of the agriculture, selection of crops plays a very vital role in farming. The proposed model for Crop selection and it’s yield prediction mainly focusses on the season and location to display the desired crop for cultivation . This requirement is implemented with Machine Learning algorithms like Decision tree for classification and Linear regression for yield prediction to maximize the crop yield. This model helps the farmers to know about the correct crop to be cultivated in a particular location . And also gives a approximate percentage of yield based on the data available in the dataset. Thus selecting crop for cultivation becomes a easier task for farmers because selection of correct crop for their location is precisely implemented using this project.