Crop Recommender System Using Machine Learning Approach

K. Prem Veer , DR. K. P. Kaliyamurthie

Agriculture is a place that performs an vital role in improving the country's financial system. Agriculture is what has contributed to human improvement. India is an agricultural united states and its economy relies upon specially on fruit plants. Agriculture is the core of the whole lot in our united states. Crop selection is essential in agricultural organisation. The dedication of the yield may be based on various factors, along with market fee, production stages and the state's very own regulations. Many agricultural reforms are necessary to enhance our Indian financial system. Improvements in agriculture may be carried out the usage of device studying techniques which can be efficiently carried out to agriculture. Along with all of the things in the discipline of machines and innovations used in agriculture, precious and correct statistics on numerous issues also plays a massive function in it. The purpose of the system is to put into effect a regressor tree judgment, a random woodland, yield dedication technique, in order that this decision facilitates to solve many troubles of agriculture and farmers. This is improving our Indian economy to yield extra plants. Key Words: Random Forest , Crop recommendation.

Published Paper   E-Certificate

"Crop Recommender System Using Machine Learning Approach", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 5, page no.950 - 956, May-2023, Available :https://ijsdr.org/papers/IJSDR2305146.pdf

Volume 8 Issue 5, May-2023

Pages : 950 - 956

Paper Reg. ID: IJSDR_206399

Published Paper Id: IJSDR2305146

Downloads: 000347272

Research Area: Engineering

Country: rangareddy, telangana, india

Published Paper PDF: https://ijsdr.org/papers/IJSDR2305146

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2305146

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition