MACHINE LEARNING APPROACH FOR INDIAN CROP YIELD PREDICTION
Author(s):
Dr.S.Erana Veerappa Dinesh, M. Anusuya, M. Vanneeswari
Keywords:
Crop Recommendation, CNN, Data Analysis, Decision tree, Logistic regression, Machine Learning, Random Forest.
Abstract
In today's world, technology plays a critical part in overcoming challenges and achieving better and maximal results in a variety of fields. The agricultural sector in India has a significant impact on the economy. Agriculture employs half of the country's population. The agriculture business is heavily influenced by its surroundings' natural circumstances, and as a result, it faces a number of difficulties in terms of actual farming techniques. Agriculture techniques in the country are generally ad hoc, and technological advancement is modest. In this industry, effective technology can be employed to boost yield while minimizing the challenges. Farmers typically sow crops based on their market value and potential yield.
Article Details
Unique Paper ID: 155207

Publication Volume & Issue: Volume 9, Issue 1

Page(s): 141 - 147
Article Preview & Download


Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews