About EcoCropx
Empowering farmers with AI-driven crop recommendations for sustainable agriculture and higher yields.
Our Mission
EcoCropx was founded with a clear mission: to revolutionize farming practices through technology. We believe that by combining traditional agricultural knowledge with cutting-edge AI, we can help farmers make more informed decisions that lead to better yields, reduced resource waste, and more sustainable farming practices.
Our team of agricultural experts and data scientists has developed a powerful machine learning model that analyzes multiple factors to recommend the most suitable crops for any given farming condition.
What We Offer
AI-Powered Recommendations
Our advanced machine learning algorithms analyze soil composition, weather conditions, and environmental factors to suggest optimal crops for your specific conditions.
Data-Driven Insights
Access comprehensive data analysis on crop suitability, expected yields, and resource requirements to make informed decisions for your farm.
Sustainable Farming
Our recommendations prioritize environmentally friendly practices, helping you reduce water usage, minimize chemical inputs, and promote soil health.
How It Works
Input Your Data
Enter soil nutrients information including Nitrogen (N), Phosphorus (P), and Potassium (K) levels, along with environmental data such as temperature, humidity, rainfall, and pH level.
AI Analysis
Our machine learning model processes your data, comparing it against thousands of successful crop scenarios to identify patterns and optimal conditions.
Get Recommendations
Receive personalized top 3 crop recommendations ranked by probability of success, along with detailed information on each crop's requirements and expected outcomes.
Our Technology
EcoCropx uses a sophisticated ensemble of machine learning models trained on extensive agricultural datasets. Our system incorporates:
- Random Forest algorithms for accurate crop classification
- Neural networks for complex pattern recognition in agricultural data
- Historical yield data spanning multiple regions and climate conditions
- Real-time weather data integration for dynamic recommendations
- Continuous learning from farmer feedback and outcomes
Our Team
EcoCropx brings together experts in agriculture, data science, and sustainable farming practices.
Ashwin
Machine Learning Engineer
Chandn Sai Kumar
Backend developer
Udaya Krishna
Front end developer
Yesudoss
Front end developer