Aug 16, 2023 · A crop production model proposed in aims to manage the produced crop using machine learning algorithms to help farmers in developing countries who are still using …

Oct 1, 2020 · An accurate crop yield prediction model can help farmers to decide on what to grow and when to grow. There are different approaches to crop yield prediction. This review article …

The integration of Machine Learning (ML) and Deep Learning (DL) in agriculture has surged, addressing farming challenges through crop recommendation, fertilizer optimization, and plant …

ouses so gadget mastering assist to solve their problems. In this paper, we present a machine called crop recommendation gadget through soil analysis, which intends to assis. the Indian …

It explores the benefits of using machine learning and deep learning for crop yield prediction, identifies appropriate remote sensing technologies, and considers factors affecting crop yield, …

The concept of this paper is to implement the crop selection method so that this method helps in solving many agriculture and farmers problems. This improves our Indian economy by …

Feb 8, 2021 · System predicts crop prediction from the gathering of past data. Using past information on weather, temperature and a number of other factors the information is given. …

May 11, 2023 · The crop prediction uses the multi-class classification machine learning model to predict the crop for a set of given input features. Whereas the yield prediction incorporates the …

Oct 25, 2024 · It optimizes irrigation, fertilization, and crop selection, aiding decision-making for food security and crop management. This study proposes two robust machine learning …

So a crop prediction model using machine learning is used to solve the issue and for that it takes input of various factors such as Soil condition, weather parameters and historical data of the …