Book

Discover how Machine Learning is transforming modern agriculture. Crop Recommendation System Using Machine Learning: An Intelligent Approach to Sustainable Agriculture explores how artificial intelligence and data-driven technologies can help farmers make smarter crop-selection decisions.This book presents a machine learning-based approach to predicting suitable crops using important environmental and agricultural parameters, including soil properties, temperature, humidity, rainfall, and pH levels.It explores algorithms such as Random Forest, Support Vector Machines (SVM), Decision Trees, K-Nearest Neighbors (KNN), and Neural Networks, highlighting their role in improving crop prediction and supporting precision farming.Readers will gain insights into:Machine learning applications in agriculture.Soil and climatic factors influencing crop selection.Data preprocessing and feature engineering. Crop prediction models and performance evaluation. Real-time data processing and intelligent recommendations.The future of sustainable and smart agriculture.Whether you are a student, researcher, technology enthusiast, or someone interested in agricultural innovation, this book offers an introduction to the intersection of machine learning and sustainable farming. Bringing together technology, intelligence, and agriculture to cultivate a smarter and more sustainable future.