GitHub topics: plant-health
FarmanAliDevdynamos/Crop_Disease_Dection_app
A smart Flutter app for detecting crop diseases using a CNN model deployed via Flask on Render. It verifies images, predicts diseases, and suggests treatments.
Language: C++ - Size: 267 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
adam-ben-rhaiem/plant-health Fork of Amir-Jribi/plant-health
This project was developed as part of an academic module, focusing on delivering an innovative solution to monitor plant health in real time. Leveraging IoT sensors, AI models, and a responsive Progressive Web App (PWA), the system provides users with insightful data on plant environments and directs them to nearby agricultural centers.
Language: Jupyter Notebook - Size: 2.78 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
mmerlyn/fertilizer-recommendation
Helping smallholder farmers make smarter fertilizer decisions through deep learning–based nutrient diagnosis.
Language: Jupyter Notebook - Size: 6.03 MB - Last synced at: 27 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
yashkusumkar02/agromind
🌿 AgroMind - AI-Driven Plant Health Advisor A smart Flutter app that helps home gardeners detect plant diseases, receive AI-driven care tips, and engage in a community for plant enthusiasts.
Language: Dart - Size: 30.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
PeteVanBenthuysen/LeafLens
Deep learning model to detect plant diseases from leaf images using CNNs and the PlantVillage dataset. Helps improve early crop disease diagnosis for agriculture and sustainability.
Language: Jupyter Notebook - Size: 473 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
ThecoderPinar/Plant-Health-Monitoring
🌱 This project aims to automate plant health monitoring using computer vision and deep learning. It focuses on accurate disease detection and classification in plants through rigorous data preprocessing and robust model selection.
Language: Jupyter Notebook - Size: 14.5 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 30 - Forks: 9
sarangs1621/Detection-of-Mixed-Pixels-in-Thermal-Image
A lightweight Python deep learning framework for precision agriculture. It leverages a CNN autoencoder to detect mixed pixels in thermal images, enabling early crop disease detection with robust metrics (MPP, SSIM, MSE) and scalable design.
Language: Jupyter Notebook - Size: 2.32 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
kushagra3204/Plant-Disease-Monitoring
Monitoring Plant Health and Diseases for Sustainable Agriculture using CNN
Language: Python - Size: 16.5 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 1
DEFRA/trade-phes
Defra Digital: Plant Health Export Service
Language: Java - Size: 22.4 MB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 2
