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Crop-Yield-Prediction-Using-Machine-Learning-Based-On-Soil-And-Weather-Data

A machine learning system that predicts crop yield using soil characteristics and weather conditions. It analyzes factors such as soil nutrients, rainfall, temperature, and humidity to help farmers make data-driven decisions for better agricultural productivity.

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Project include:

  1. Synopsis

  2. PPT

  3. Research Paper

  4. Code

  5. Explanation video

  6. Documents

  7. Report

Need Code, Documents & Explanation video ?

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Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Crop Yield Prediction Using Machine Learning analyzes soil and weather data to forecast crop production, helping farmers improve planning, optimize resources, and increase agricultural productivity.

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