[IROS24] Offical Code for "FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework" - Inegrated into Nerfstudio

Advancement of UAV, deep Learning and cutting edged technologies and papers in Precision Agriculture.

Neural-Kalman GNSS/INS Navigation for Precision Agriculture

Official Repository for CWD30 Dataset

Set of Machine Learning Algorithms developed with the aim of determining health states of different types of crops

Low-cost sensor node device using solar energy and a sx1276 LoRa transmitter for a Wireless Sensor Network.

A Lightweight Deep Learning Model for Automated Pest Detection on Mobile

This GitHub repo contains the code for a precision agriculture app built with Python-Django, and Typescript-Angular. The whole web app is designed to help farmers manage their dairy and poultry farms by making data-driven decisions for their business. In this repo, you'll find the code for the dairy and poultry franchises

Deep Learning-based Early Weed Segmentation using Motion Blurred UAV Images of Sorghum Fields

Precision Agriculture based ML and DL project (local host deployment) which have features of crop recommendation, fertilizer recommendation and pesticide recommendation.

Yellow Sticky Traps Dataset with improved annotations. Based on: "Raw data from Yellow Sticky Traps with insects for training of deep learning Convolutional Neural Network for object detection" by A.T. Nieuwenhuizen et. al.

Bovine Heat Detection and Analysis Tool (BovHEAT) - Automated heat detection and analysis tool for "SCR Heatime" cow activity monitoring data.

[IROS25] Offical Code for "FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields" - Inegrated into Nerfstudio

A curated collection of 45 high-quality RGB image datasets for computer vision in agriculture. Features datasets for weed detection, disease identification, and crop monitoring, focusing on natural field scenes. Part of our GIL 2025 survey paper.

This project aims to build a software that can download Sentinel-2 satellite images in batch for data analysis.

An Android APP to record precision areas for farming purposes

Official TensorFlow code for the paper "DeepWay: a Deep Learning Waypoint Estimator for Global Path Generation".

AI to Predict Yield in Aeroponics

Official TensorFlow code for the paper "Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering" presented at ECML PKDD 2022.

Arduino Library for Arduino Edge Control

Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms

R scripts for predicting soil organic carbon using soil spectral library from visible, near-infrared and shortwave-infrared (VNIR) and middle-infrared (MIR) using LASSO and PLS regression methods and the target-oriented cross-validation strategy.

AgriSegment — A multi-modal plant segmentation suite for agricultural research. It offers four FastAPI-powered tools—Hybrid (SegFormer + SAM), Interactive (real-time SAM), Semantic (batch SegFormer), and Panoptic (Mask2Former)—making AI-driven plant segmentation accessible to non-programmers.

This project develops C++ and Python standard-language software for embedding in irrigation controllers for human-supervised fully-automated distributed systems.

Opensource proximal hyperspectral image dataset of crops and weeds for deep learning.

TerrAvion API example

KisaanBot: A chatbot assistant for farmers towards improving livelihood

Multi-spectral satellite data analysis system combining Sentinel-2 imagery with deep learning for early crop disease detection in precision agriculture applications.

Cattle Body Parts Image Dataset for Object Detection

Alignment between the coordinate system of a point cloud and the global coordinate system of pcl