Python material for agricultural students (ECOPOM)

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.

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.

agriculture technology project repo

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.

Automated plant disease detection system using image processing to help farmers to identify crop issues early and improve yield quality.

An automated process of converting FSA files of farmland tracts into geo-referenced ShapeFiles using Python

This script processes an image to detect and estimate the number of kakis (persimmons) by identifying the common orange areas using a Gaussian fit method with least squares estimation.

Program ini untuk mengairi tanaman di pot menggunakan jaringan mesh

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

Potato leaf disease detection using a CNN

This repository contains the codebase for a dynamic web application showcasing data science consulting services for agriculture and aquaculture. Built with HTML, CSS, and JavaScript, the project features a structured layout, responsive design, and functionality for user interaction, including a contact form and SEO optimization.

This repository contains the source code for the ASMP (Agricultural Production Management System), which is designed to enhance data collection, analysis, and management in the field of agriculture in Algeria, making it more efficient and sustainable.

Cow Cure is a web-app project that helps farmers quickly and accurately identify potential health issues in their cattle, enabling timely and appropriate interventions to ensure their health and productivity.

Crop Recommendation deployed on AWS

Research center for food and agricultural development.

A user-friendly platform connecting farmers directly with consumers.