ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.

codes for RS paper: Rice-Yield Prediction with Multi-Temporal Sentinel-2 Data and 3D CNN: A Case Study in Nepal

The Crop Management System is a machine learning-based project designed to provide predictions and recommendations for farmers.

Python data pipeline to acquire, clean, and calculate vegetation indices from Sentinel-2 satellite image. Package is available only for our clients.

Reinforcement Learning for Improving Chemical Reaction Performance

AI to Predict Yield in Aeroponics

AK_VIDEO_ANALYZER that analyses videos on which to automatically detect apples, estimate their size and predict yield at the plot or per hectare scale using the appropriate simulated algorithms.

Goal of this project was to predict beef carcass 22 yield parameters using image analysis. The code (written in MATLAB, Python) for image processing, feature extraction and multivariate modelling is found in this repository

AgriTech is an AI-powered web platform that offers crop recommendations, yield prediction, disease detection, and collaborative tools to empower farmers and promote smart, sustainable agriculture.

METADATA-FARMER ASSISTANCE WEBAPP | AI & ML

ECE471 Final Project: Pixel-Wise Crop Yield Prediction from County-Wise Labels

ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.

Système professionnel de yield management touristique. Basé sur 8+ années d'expérience terrain gérant €15M+ de contrats avec Oberoi, Mercure, TBH Hotels, Hilton. +23% CA, +580K€ profit.

Neural network model for predicting yield per unit area based on the location

AKFruitYield: AK_SW_BENCHMARKER Azure Kinect Size Estimation & Weight Prediction Benchmarker.

Morgan Stanley's Quant Challenge Qualifier Competition

The project aims to create a centralized database of farmers with digital profiles that include all their relevant details. Additionally, the system features an alert system for new schemes and subsidies, as well as a machine learning-based crop recommendation system and disease detection with fertilizer suggestions.

An AI-based system that recommends crops, predicts yield and diseases, and provides irrigation guidance using real-time weather and soil data.

Django application for predicting Rice Crop Yield using Random Forest algorithm.