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

Official Repository for CWD30 Dataset

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

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

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

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

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

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

Lane Detection using DBSCAN + IPM + A Bit of Temporal Smoothing

A python script to apply VARI,GLI and VIGREEN vegetation indexes in a set of user defined images

OpenCV script to spot plants affected by Fusarium wilt.

BaleUAVision: High-resolution UAV dataset for automated hay bale detection and counting. Includes 2,599 annotated images, flight metadata, orthomosaics, segmentation formats (COCO, YOLO, CSV, masks) and YOLOv11 benchmark.

Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model

Precision Agriculture Toolkit

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

A WebApp using Geemap and Google Earth Engine

I worked on a precision agriculture project in which we used various sensors to save agricultural data(temperature,humidity,soil moisture,pH). In this repository , I have included 2 databases which contain the realtime and modified values. The two python codes are for modifying the database and visualizing the results respectively.

A backend server built using FastAPI

Austral Falcon Deep Learning repository