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.

AI to Predict Yield in Aeroponics

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

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

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

The Crop Yield Prediction System uses machine learning to forecast agricultural yields and provides essential crop information. Integrating weather, soil, and historical data, it offers accurate predictions and supports models like Linear Regression, Random Forest, and Neural Networks.

METADATA-FARMER ASSISTANCE WEBAPP | AI & ML

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

Morgan Stanley's Quant Challenge Qualifier Competition

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

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

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

Using an efficient Graph-Based approach, analyze a collection of Arecanut images to determine the quantity of Arecanuts in each cluster. Then, extrapolate the total number of nuts within the entire yield based on the individual counts from each cluster.

This repository provides Lastools and R based scripts for 3D LiDAR data processing and imputation modelling for yield prediction at plot and individual tree levels

Simple raw materials and transformations yield calculation symfony 5 app

An Excel based interface for the soybean model GLYCIM