Aug 16, 2023 · In , using machine learning, the authors proposed a system for the early prediction of crop diseases in plants by utilizing the Convolutional Neural Network (CNN) method. The …

This project focuses on building a predictive system for agricultural crop yield using machine learning models. By leveraging historical data on weather, pesticides, and other environmental …

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 …

Jan 1, 2022 · The paper aims to discover the best model for crop prediction, which can help farmers decide the type of crop to grow based on the climatic conditions and nutrients present …

Nov 19, 2024 · We will briefly go through the end-to-end project to predict crop yield using pollination simulation modeling. We will follow each step of the data science project lifecycle …

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 …

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 …

With this Machine Learning Project, we will be doing crop yield prediction analysis. For this ml project, we are using the Gradient Regressor with 5-fold cross Validation. So, let’s build this …

In this research paper, we propose a machine learning-based approach for crop and fertilizer recommendation. Our approach uses a dataset of soil and weather data along with crop yield …

Oct 25, 2024 · Machine learning, a subset of Artificial Intelligence (AI), enables prediction, classification, and automation in agriculture. It optimizes irrigation, fertilization, and crop …