Connect suppliers, distributors and consumers to trade local produce.
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Updated
Jul 23, 2024 - Ruby
Connect suppliers, distributors and consumers to trade local produce.
Software Developement laboratory (6th semester) course's project.
Akṣara-Advisories for Climate Smart Agriculture
A MERN Stack project with 2 backend server,Blockchain Marketplace,with cutting edge technologies including ML,ImageProcessing,Agora , This user-friendly agricultural technology platform provides invaluable support to farmer at every stage of farming process, from soilTesting,expertGuidance,cropSelection to decentalised blockchain marketplace
AYNA (All You Need for Agronomy) is a website particularly for the Indian Farmers to provide all information in one portal which includes Weather, Seed & Crop Prices, Technical knowledge, Govt Schemes etc..
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.
FarmFinder: Your Path to Agricultural Success 🌾 Discover tailored farm recommendations, filter by preferences, and access fertilizer insights. Join us in revolutionizing agriculture! 🚀 #FarmFinder
"LetUsFarm: Your Agricultural Hub 🌾 Experience seamless access with our login and signup pages. Navigate through personalized farm recommendations on the home and filter pages, tailored to your needs. Engage with dedicated sections for farmers, advisors, and administrators. Let's cultivate success together! 🚜💻 #LetUsFarm"
Scripts and files for Agroforestry Insurance related issues and ideas
AI-based voice-assisted Contact Center for assisting Farmers for their problems.
AI integrated drone with agriculture disease detection capabilities.
Machine Learning Project
Kheti Shayak
Flutter app which helps farmers take the right decisions with their crop regarding diseases. Our team's idea for GDSC solution challenge 2024
AgriInsightML: Harnessing ML for advanced crop health analytics, this model processes 26K+ images to deliver 90th percentile Top-K accuracy, optimizing agricultural insurance for smallholder farmers with speed and scale
This project explores underlying factors contributing to farmer suicides in India and facilitating targeted interventions. Using advanced data visualization techniques, this report provides a comprehensive analysis of several factors such as Regional trends and hotspots, causes & correlations etc.
An application that allows farmers to list their yields, and consumers to discover and purchase fresh grown produce. React, TypeScript, Node, Express, MongoDB.
This innovative mobile application utilizes Flutter for the front-end interface and Flask for the back-end API. Our app employs advanced image processing techniques to detect and diagnose plant diseases accurately.
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