Python material for agricultural students (ECOPOM)
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Updated
Jun 18, 2024 - Jupyter Notebook
Python material for agricultural students (ECOPOM)
AgriMarket is an open-source digital marketplace that connects farmers and buyers in Somalia. It allows farmers to list their products, while buyers can browse, purchase, and manage orders, promoting direct trade and supporting Somalia's agricultural growth.
This project leverages LSTM networks, a type of RNN, to accurately predict fruit and vegetable prices by analyzing a comprehensive dataset, utilizing a refined model adept at navigating the complexities and patterns within agricultural market data.
ESP32-based control system and web interface for Team BEHEMOTH's award-winning automatic vegetable transplanter, featuring real-time monitoring, dual modes, and commercial billing.
Based on my published research paper, this project uses a "One-vs-All" deep learning approach with EfficientNet B4 to classify cassava leaf diseases. Integrated into an Android app, it helps farmers detect diseases early, supporting sustainable farming and reducing crop losses.
Developed a deep learning model using TensorFlow and Convolutional Neural Networks to classify disease images of potato plants, including early blight, late blight, and overall plant health in agriculture. Model achieved an impressive accuracy of 97.8%, empowering farmers with precise treatment applications to enhance crop yield and quality.
Our “RSCMS” is more than just a technical project – it reflects a practical solution to a real-life problem that affects millions of people involved in farming, processing, and consuming rice. Through this project, we aim to gain experience in full-stack development, working in teams, and solving real-world problems with meaningful impact.
agriculture technology project repo
A Deep Learning Architecture to detect if a lemon tree is diseased or healthy by looking at an image of its leaf
🌻FloPE: Flower Pose Estimation for Precision Pollination
Research center for food and agricultural development.
AI-powered Android app for plant disease detection using deep learning.
farmer's ai assistant
A plow H/V position monitoring based on Clinometer for Android and WITmotion BWTXXXX bluetooth sensor
Potato leaf disease detection using a CNN
SkyAI is a web-based application designed to provide AI-driven crop valuation and personalized insurance policy advice for the agricultural business. This project uses image processing and deep learning to analyze satellite images of farmland and generate detailed valuation reports, risk assessments and claims management
Empowering Agriculture through smart farm for data visualization, farm management and AI/ML for productivity
Agriculture:Integrating Weather, Soil and Crop Data for Optimal Farming
A user-friendly platform connecting farmers directly with consumers.
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