PlantAi is a ResNet-based CNN model trained on the PlantVillage dataset to classify plant leaf images as healthy or diseased. This repository includes PyTorch training code, tools to convert the model to TensorFlow Lite (TFLite) for deployment, and an Android app integrating the model for real-time leaf disease detection from camera images.

Rice grain image classification using Artificial Neural Networks

Deep Learning Project for Sugarcane Disease Prediction and Classification Using CNN Architectures

AI-powered smart farming system for crop yield & price prediction, nutrient optimization with what-if analysis, and CV-based deficiency detection

Deep learning solution for apple disease detection using CNN architecture. Trained on PlantVillage dataset to classify 4 apple leaf conditions with real-time image analysis.

First Open Nepal-Specific Agricultural AI Dataset & Model

🌱 AI-powered crop disease detection app for farmers. Identify plant diseases, get treatment recommendations, and connect with the farming community using React Native.

MangoMediX 🌿 – AI-powered mango leaf disease prediction system using ResNet50, Flask, and a user-friendly web interface. Detects 8 mango leaf diseases with 92% accuracy and provides treatment suggestions.

GreenFund is an AI-powered web application that empowers farmers to make data-driven, climate-smart agricultural decisions. The platform focuses on analysis of soil health then additionally tracks farm activities, measures carbon emissions, and provides AI-driven crop recommendations to promote sustainable and climate-resilient farming.

Data augmentation framework and convolutional neural network for classification of cassava crop diseases from leaf images 🌱

🧠 Deep learning model (Custom CNN) trained on 30K+ balanced leaf images to classify Healthy vs Diseased plants. TensorFlow · Keras · OpenCV · Streamlit · Google Colab T4 GPU.

End-to-end deep learning system for sugarcane leaf disease detection using PyTorch, ResNet-50, FastAPI, and Docker.

CNN-based plant disease classifier (86.78% accuracy) using TensorFlow & transfer learning on PlantVillage dataset

CropCare is an AI-powered smart farming platform that helps farmers detect crop diseases, receive crop recommendations, monitor weather, and track market trends.

Hyperparameter-tuned Xception model for plant disease detection with 97.23% accuracy – published at IEEE ICAIQSA 2024

CNN-based plant leaf disease classifier on PlantVillage (15 classes, 20K+ images) — reproduces a published research paper with a custom CNN (91% acc.), then beats it via MobileNetV2 transfer learning (95%+ acc.) in PyTorch.

AgriAI is a comprehensive, AI-driven agricultural advisory platform that empowers farmers with smart crop prediction, CNN-based soil classification (ResNet50), geolocation mapping, a multilingual generative AI voice chatbot, and real-time expert conferencing to enhance farming yields and knowledge sharing.

Deep-learning pipeline for cashew leaf disease classification using EfficientNet-B0, ResNet-18, VGG-16, DenseNet-121, class weighting, augmentation, and PyTorch/timm

🌾 KisanManch “Aapka Awaaz, Aapka Vikas” – Offline-first, multilingual app empowering India’s smallholder farmers. 🎙 Voice-based reporting | 📶 Works without internet | 🤝 Connects farmers with schemes & community #AgriTech #CarbonCredits #FarmersFirst

Multi-branch CNN for potato leaf disease classification (96.4% on 7 classes, 5 geographic sources) audited with six XAI techniques (Grad-CAM, IG, occlusion, β-routing analysis, k-NN, and counterfactual mask-flip) to distinguish genuine disease recognition from shortcut learning.