A dataset which would allow the users to build a predictive model to recommend the most suitable crops to grow in a particular farm based on various parameters.
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The system takes into account several factors such as soil type, climate, rainfall, temperature, humidity, and pH levels to determine the most suitable crops ...
The system collects and analyzes various data sources, such as soil quality, climate, and historical crop yields, to make personalized crop recommendations. The ...
Jun 29, 2024 · This dataset is designed for crop recommendation systems and contains parameters that influence crop growth. It consists of two CSV files: a ...
CROP RECOMMENDATION. INTRODUCTION. In agriculture, the precise recommendation of crops is pivotal in ensuring optimal yield and sustainability.
Jun 15, 2024 · In short, crop recommendation systems analyze soil properties and fertility levels to help farmers improve crop selection, fertilization ...
Based on predicted rainfall, soil contents and weather parameters the system will recommend the most suitable crop for cultivation.
Crop Recommendation System for agriculture is based on various input parameters. This proposes a hybrid model for recommending crops to south.
Sep 4, 2024 · The dataset is comprehensive, encompassing various key factors critical to machine learning-based crop recommendation systems.
Sep 2, 2024 · This paper aims to present a Machine Learning (ML) based crop recommendation system tailored for the farming landscape.
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