precision-agriculture

[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

Companion codebase for the paper "Machine Learning-Based Optimization of Site-Specific NPK Fertilizer Recommendation".

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

Official Repository for CWD30 Dataset

A ResNet50-DCBAM deep learning framework for plant disease classification using the PlantVillage dataset with reproducible training and evaluation pipelines.

Open Intelligence for Every Farm - Monitor crop health with satellite imagery, detect anomalies early, and make data-driven decisions.

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

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.

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

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.

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

AI-level Agro-sensor Firmware for measuring: pH, NPK, sunlight, temperature, salinity, conductivity, etc

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

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.

AI-powered platform for plant disease detection & intelligent crop recommendations. Next.js + Django + MongoDB + ML models. 99.5% accuracy. Open source agriculture tech helping farmers worldwide.

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.