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 …

Aug 5, 2024 · This paper proposes an expert system model named precise ensemble expert system for crop yield prediction (PEESCYP) to predict the best crop for agricultural land.

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 Crop Recommendation System targets to offer records to the farmers at the soil and crop traits. With this statistics the farmer can recognize which crop can be cultivated

Accurate crop prediction is essential to maximize yield and optimize resource usage, ensuring food security and economic stability. This paper presents an advanced model that integrates …

The Objective of the project is to Design and Development a Crop Prediction System using a Machine Learning algorithm(K-Means) in which the farmers are helped with a crop …

xplanation behind this is the deficiency of adequate decision making by farmers on yield prediction. There isn't any framework in location to suggest farmer what plants to grow. The …

May 11, 2023 · For crop prediction, Naïve Bayes classifier gives most accurate results with accuracy of 99.39. The study emphasizes how machine learning could revolutionize crop …

We have the aim of adding more attributes to our system and ameliorate the results, which can improve the yields and we can recognize several patterns for predictions. This system will be …

Most of the existing precision agriculture solutions recommend the use of fertilizers as a remedy to poor soil fertility and to boost yields. Such solutions cau.