it is a 🌿 real-time pest detection system for urban gardens. It uses the lightweight 🤖 YOLOv8 Nano model to identify pests like 🐜 aphids and 🦟 fruit flies, optimized for edge devices like the 🍃 Raspberry Pi 4.
PestGuardian is a web-based application designed to assist farmers and gardeners in identifying pests in their crops and providing actionable recommendations for their elimination
🚀 A scalable Python backend for an AI chatbot built for agriculture and aquaculture. It delivers real-time insights on crops, pest detection, and fish farming. With secure APIs and modular design, it integrates seamlessly into apps, empowering farmers 🌱 and businesses to boost productivity, efficiency, and sustainability.
Scientific initiation project aimed at understanding the counting and classification of cochineals in forage palm rackets.
AI-powered smart agricultural IoT monitoring system using Raspberry Pi sensors and Llama 3.2 LLM for offline crop management. Provides real-time environmental data analysis and natural language farming insights without internet dependency.
This repository contains a Jupyter notebook that demonstrates how to fine-tune the YOLOv11 object detection model on the Agricultural Pests Dataset using Google Colab.
🌊 Streamline water management with Aquanex-Server, a robust tool for monitoring and analyzing aquatic data efficiently.
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