AI-powered crop recommendations for optimal yield and profitability
Project By: Krushank Rangani
Roll No: 220090107166
Subject: Artificial Intelligence (AI)
Enter your farm details to get personalized crop recommendations
How AI and machine learning are revolutionizing farming
Predictive yield analysis using multispectral imaging and real-time crop monitoring
Real-time monitoring of soil moisture, temperature, and crop health parameters
Forecasting commodity prices and optimizing agricultural supply chains
Data-driven decisions for optimal resource utilization and maximum yield
Using historical data and weather patterns to predict crop yields and potential issues before they occur.
Smart irrigation systems that adjust water delivery based on soil moisture and weather forecasts.
AI-powered image recognition to identify plant diseases and recommend treatments early.
Machine learning algorithms that optimize transportation routes and storage conditions for agricultural products.
This AI-based expert system provides personalized crop recommendations to farmers based on crucial environmental and economic factors.
The system analyzes soil type, local rainfall levels, temperature ranges, and current market demand to suggest the most suitable and profitable crops for specific farming conditions.
Built with modern web technologies and machine learning algorithms, this project demonstrates how technology can empower farmers with data-driven insights for better decision-making.
Title: Smart Agriculture Advisor
College: C.K. Pithawala College of Engineering & Technology
Department: Computer Science & Engineering
Academic Year: 2025-2026
Student: Krushank Rangani
Roll Number: 220090107166
Profession: AI Engineer
Future Scope: Business ( Tech / Non-Tech )