Open Accesscompetent approach to predict the crop yield based on soil condition using CNN algorithm
Author(s) -
S Rajkumar,
P Kaviya,
M Mounica
Publication year - 2022
Publication title -
international journal of health sciences (ijhs) (en línea)
Language(s) - English
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6ns4.9230
Subject(s) - agriculture , precision agriculture , agricultural engineering , production (economics) , algorithm , machine learning , crop yield , computer science , artificial neural network , soil quality , crop , artificial intelligence , environmental science , agronomy , engineering , geography , archaeology , biology , economics , macroeconomics