Corn Health Monitoring System (Designed for Ceylon Biscuit Limited) using Aerial Imagery
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Updated
Feb 7, 2022 - Python
Corn Health Monitoring System (Designed for Ceylon Biscuit Limited) using Aerial Imagery
🌿 Intelligent Plant Disease Detection & IoT Soil Health Monitoring System - Combines deep learning-based plant disease detection with real-time IoT soil monitoring, weather integration, and a smart fusion engine for comprehensive crop health management.
🌾 AI-powered crop disease detection for Indian agriculture - 58 disease types across 9 crops
The Smart Crop Disease Detection System is a Django web app that uses machine learning to identify crop diseases from leaf images. It helps farmers detect diseases quickly and take action to protect their crops. The system features AWS S3 image storage, TensorFlow Lite integration, and a responsive front-end for easy use.
Automated plant disease detection system using image processing to help farmers to identify crop issues early and improve yield quality.
Agent-based crop health simulation for predicting long-term crop viability and growth risk using smart farming indicators, layered rule-based modeling, and NetLogo visualization.
AI-powered Smart Agriculture Platform featuring plant disease detection, weather insights, live mandi prices, farmer community discussions, crop recommendations, and secure authentication.
Numerical validation of crop health and abiotic stress resilience using Random Forest modeling. Analysis of 212k+ agricultural records.
AI-powered crop disease diagnosis & yield loss risk estimator. Fine-tuned EfficientNetB3 & TFLite (97.45% accuracy, 38 classes) with FastAPI backend, bilingual React/Vite UI, and ReportLab PDF advisory reports.
Crop Recommendation and Health management system
Spatio-Temporal Crop Health Assessment for the Jammu Region using Multi-Source Remote Sensing and Machine Learning
Detect southern rust and corn pollination problems early with this AI-powered crop health monitor. Upload field images, auto-fill weather data, and generate instant CSV and PDF reports directly in WordPress. Built for farmers to reduce yield loss and improve decision-making.
AI-powered crop health monitoring using Sentinel-2, Google Earth Engine, NDVI, NDRE, EVI, ESA WorldCover, and Gemini AI.
An AgTech digital assistant for Indian farmers. Features AI crop disease diagnosis, satellite field monitoring, and real-time mandi prices.
NDVI crop health pipeline from drone Red/NIR imagery — zone-based stress detection, flight history trends, and self-contained interactive dashboard.
AI-powered plant health diagnostic app with image analysis, weather, soil data integration. Multi-language support, real-time monitoring. Built with React, TypeScript, Vite.
CeresAI — independent third-party profile of a public API surface, by API Evangelist. CeresAI (formerly Ceres Imaging) is an aerial and satellite agricultural intelligence platform that converts high-resolution spectral imagery and machine learning into field-level insights on crop health, water stress, yield, and financial risk.
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