agritech-project

Une bibliothèque Python conçue pour les agronomes, chercheurs et développeurs travaillant sur les données agricoles au Bénin et en Afrique de l'Ouest.

AgriTech Application - eAgriWallet [An Android app that can help farmers get access to farm inputs, connect with available Agrovets through a Google Map Location and grow their money wallet for them to receive payment for their produce and too use the wallet to pay for their farm inputs]

AI-powered farming assistant combining IoT sensors, machine learning, and real-time data to give every smallholder farmer precision agriculture in their pocket.

🤖 Terrafarms ML Models

AI-powered web app for detecting tomato/potato leaf diseases with bilingual English/Tamil remedy suggestions

Stronger harvests start with the right inputs. Browse seeds, protection, tools, and services—then complete your purchase securely on Selar.

AI-powered precision agriculture platform for site-specific weed management. Uses ResNet-50 CNN (94.7% accuracy, 23ms inference) to detect weed species from field images and generate zone-wise herbicide treatment plans — reducing chemical usage by up to 67%.

CropWise UK is an AI-driven platform that recommends the most suitable crops for UK cities using soil, climate, and pollution data. It combines machine learning, rule-based reasoning, and geospatial analytics to provide accurate, actionable, and sustainable planting insights for farmers, researchers, and policymakers.

This project is detailed website of Agricultural Dairy Farm company, the company seeks to automate the milk production records to make it easier for monitoring the production at the farm.

A web app which classify the soil using its textural composition (Sand, Silt and Clay). It returns the type of soil and also plot the ternary graph for that soil. This app helps determining the soil type easily and without manual calculations.

End-to-end analytics and decision-support engines across the global value chain. Bridging FinTech risk modeling, supply chain logistics, industrial process control (moisture optimization), and biological R&D to drive measurable business ROI.

This project is an IoT-based intelligent plant monitoring and control system designed to automate the care of plants using sensor data and adaptive logic. It also enables users to have manual control over the plant ecosystem for better management.

Krishi Sahayak (कृषि सहायक) is a private, offline-first farm advisory platform for low-connectivity rural India.स्वस्थ फसल, समृद्ध किसान

A web app based on classification algorithm (KNN) which recommends the best suitable crop using the soil nutritional data and weather data. The model has 99.96% accuracy and it is very beneficial for farmers to make more informed decision about which crop to grow.

AgriPlus is an online website that help farmers, harvesters, producers and consumers to connect directly.

AI-powered chatbot for guiding farmers and buyers on the HaritSetu platform through crop listing, residue pricing, and sustainable agri-commerce support.

AgriVision AI is a comprehensive web-based platform built with Flask, designed to empower farmers with advanced AI and Machine Learning technologies. It assists in managing farms, monitoring crop health, predicting yields, and obtaining real-time insights through an integrated AI assistant.

The Farmers Service Centre (FSC) is a one-stop shop designed to enhance the agricultural productivity and income of smallholder farmers in rural areas. It offers a wide range of services, including input sales, equipment leasing, commodities aggregation, storage facilities, and advisory services.

AI-powered precision agriculture platform for site-specific weed management. Uses ResNet-50 CNN (94.7% accuracy, 23ms inference) to detect weed species from field images and generate zone-wise herbicide treatment plans — reducing chemical usage by up to 67%.