uses Machine Learning techniques in order to predict the most profitable crop in the current weather and soil conditions. This system can also help in predicting the yield of the crop using …

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 …

Jan 1, 2023 · Methods of machine learning can aid intelligent system decision-making. The following paper investigates a variety of methods for predicting crop yields using a variety of …

Suggesting appropriate crop recommendations using machine and deep learning by estimating crop yield by using time series analysis will reduce food insufficiency in the future.

General Flow diagram of crop yield prediction. KNN can be used to tackle both regression and classification problems. When KNN is used, the K-most similar group's average or median …

Nov 6, 2023 · Crop yield prediction is a complex process which relies on several different factors including weather, soil, fertilizers, pest infestations, etc. In this paper, we predict the crop yield …

Mar 4, 2009 · The system aims to help farmers to cultivate proper crop for better yield production. To be precise and accurate in predicting crops, the project analyze the nutrients present in the …

Feb 8, 2021 · Machine learning (ML) could be a crucial perspective for acquiring real-world and operative solution for crop yield issue. Considering the present system including manual …

Mar 9, 2025 · Machine learning techniques to develop a system for crop recommendation and yield prediction, aimed at supporting data-driven agricultural decision-making. Exploratory data …

In the Crop Recommendation module, users can provide soil data, state, and city information, and the application employs a machine learning model to predict the optimal crops based on …