Open Access
Crop Yield Prediction and Fertilizer Recommendation
Publication year - 2020
Publication title -
international journal for research in engineering application and management
Language(s) - English
Resource type - Journals
ISSN - 2454-9150
DOI - 10.35291/2454-9150.2020.0452
Subject(s) - yield (engineering) , agriculture , revenue , crop , government (linguistics) , fertilizer , business , crop yield , estimation , agricultural economics , agricultural engineering , natural resource economics , environmental science , economics , engineering , agronomy , geography , linguistics , philosophy , materials science , accounting , archaeology , management , metallurgy , biology
Agriculture is a major source of the economy of the country. The Prediction of crop yield helps in managing the storage of crops as well as it directs the transportation decisions, and risk management issues related to crops. Food is perhaps the most important aspect of life, without it humankind can’t survive. Hence, storing food becomes an absolute compulsion for countries all over the world, especially the developing ones. The important aspect of the government is to fulfill the need of food for the long term, particularly at a time of natural disaster. There are many low-lying regions hence the estimation of food is very demanding. In this paper, we attempt to provide a precise and accurate decision in predicting crop yield and deliver the end-user with proper recommendations about the required fertilizer ratio based on parameters such as atmospheric and soil parameters of the land which enhance to increase the crop yield and increases farmer revenue.