Albumentations on GitHub in Agriculture and food

#1

Project-AgML/AgML

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

#2

long123524/SEANet_torch

ISPRS: Using a semantic edge-aware multi-task neural network to delineate agricultural parcels from remote sensing images

#3

liaopeiyuan/TransferDet

This is the repository containing team OverFeat's submission to CVPPP 2020's Wheat Detection Challenge (2/2245)

#4

lucasxlu/XCloud

Open Source Deep Learning Serving System with Web Interface

#5

radiantearth/crop-type-detection-ICLR-2020

Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020

#6

tqwei05/PlantSeg

A Large-Scale In-the-wild Dataset for Plant Disease Segmentation

#7

flyakon/AgriFM

Implement code of paper "AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Agriculture mapping"

#8

10Ring/FakeSTormer

[ICCV2025] [FakeSTormer] Vulnerability-Aware Spatio-Temporal Learning for Generalizable Deepfake Video Detection

#9

DongChen06/GANs-Agriculture

GANs in Smart Agriculture

#10

ridvansalihkuzu/hyperview_eagleeyes

Soil parameter estimation from hyperspectral satellite images

#11

UTokyo-FieldPhenomics-Lab/DODA

Diffusion for Object-detection Domain Adaptation in Agriculture

#12

grimmlab/UAVWeedSegmentation

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

#13

Daraan/CropAndWeedDetection

Using YOLOv7 for crop and weed detection

#15

plant-ai-biophysics-lab/CropGAN

Open source code for the paper Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection

#16

tigasgon1999/Agricultural-Pattern-Recognition

This project focuses on using the Semantic Segmentation Deep Learning architecture DeepLAbV3+ on the Agriculture-Vision dataset. We focus on improving the architecture's performance by solving the class imbalance problem present in the data.

#17

Gopi-Durgaprasad/ZINDI-GIZ-NLP-Agricultural-Keyword-Spotter-3rd-place-solution

ZINDI GIZ NLP Agricultural Keyword Spotter 3rd place solution, Audio Classification

#18

jackyjsy/CVPR21Chal-Agrivision

This repo contains the code to reproduce our results in CVPR21 Challenge on Agriculture-Vision.

#20

XU-JIA-JUN/OpenWeed-GUI-PyQt5-YOLO

An Open-Source Graphical Tool for Weed Imaging and YOLO-based Weed Detection

#21

AmzadHossainrafis/DroneImage-segmentation

This is a PyTorch-based project for drone image segmentation. The goal of this project is to segment objects and regions of interest within aerial images captured by drones. Image segmentation is a crucial task in computer vision and has various applications, including agriculture, urban planning, and environmental monitoring.

#22

mightcrab/BreastCancerDetection-CNN-BreakHis

中国农业大学2022级数据科学与大数据技术专业本科毕业设计项目。 Graduation project of the 2022 Data Science and Big Data Technology undergraduate program at China Agricultural University.

#23

febriy/plant_segmentation

Segmentation of plant images for agriculture

#24

gmarupilla/AgroTerraFlow

Reproducible, uncertainty-aware geospatial suitability pipeline for agriculture + optional GeoAI engine (terraflow geoai {fields,landcover,canopy}) — Ordinary Kriging + LOOCV variogram, Monte-Carlo CIs, Sobol/Morris sensitivity, spatial block CV, deterministic run fingerprints

#25

SmallRobotCompany/smallssd

A dataset of labelled and unlabelled wheat and weed images for semi-supervised object detection

#26

PatD123/Crop-Lane-Detect

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

#27

DanisAlukaev/purelung

A PyTorch based implementation of modules for suppressing bone shadows and context aware image crop in the Chest X-ray images.

#28

eandvaag/agricounter

Web tool for performing object detection in agricultural images.

#30

lakhankadam/Agriculture-CVPR

Machine Learning Models for Agriculture Vision Dataset

#31

robot-learning-freiburg/INoD

INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields.

#32

MadScie254/Capstone-Lazarus

Capstone-Lazarus is a collaborative project dedicated to developing an advanced plant disease detection system. Using the latest advancements in image processing and machine learning, our goal is to create an efficient and accurate solution for detecting and identifying diseases in various plant species. Join us in our mission to safeguard agricult

#33

Akobabs/COMPUTER-AIDED-VISION-FOR-PLANT-DISEASE-DETECTION

Development of a computer-aided system for the detection and classification of plant diseases using computer vision and machine learning techniques

#34

thilak-r/Plant-Disease-Detection-AI

YouTube link : https://www.youtube.com/watch?v=ZVOIvD6y3Sk

#35

aliai22/CropTypeMapping-SatelliteData

Transfer learning-based segmentation model for crop type mapping using Sentinel-2 imagery.

#36

Asifa2311/crop-pest-detection

This project applies CNN to detect and classify common crop pests from images. It uses image-based machine learning techniques to aid farmers in early pest detection. To ensure transparency, the project integrates LIME to visualize and explain the model's predictions, promoting trust and interpretability in AI-assisted agriculture.

#37

githubforgth/Crop_detection_sys

The graduation project

#38

GithubSpy/Plant_Disease_Detection_YOLOv8n

Plant Disease Detection App: An advanced tool for identifying plant diseases using a YOLOv8n model.

#40

Jeremy-Cleland/PlantDoc

This repository contains a complete implementation of a plant disease classification system using a CBAM (Convolutional Block Attention Module) augmented ResNet18 architecture. The system is designed to accurately identify various plant diseases from images, leveraging attention mechanisms to focus on the most relevant features for diagnosis.

#42

minhvuongvu/train-yolov9-beehive-dataset

The repository was used to train the YOLOv9 model based on a dataset of bee colonies collected at the Vietnam National University of Agriculture (VNUA).

#43

pallavi17798/crop-stage-detection

This repository contains python file and python notebook to detect crop stages based on remote sensing indices with some statistical methods to detect the change in the time series trend.

#45

yahavmh/My_VGG16

Using VGG16 CNN for weed detection on RGB images taken by UAV

#46

b07611031/Plantman

Plantman combines image recognition and natural language generative AI to provide automated pest and disease identification and real-time farmer consultation services, aiming to address challenges in agricultural pest and disease detection and prevention.

#47

dahalsweekar/Deep-Weed-Segmentation

This repository offers an implementation of diverse segmentation models for semantic segmentation. The provided method allows the integration of different networks and backbones to create a combination of choices.

#49

luminousbeam/CropHealthMonitor

Leveraging TensorFlow and TFDS to develop a robust model for weed detection and crop health monitoring. This repository provides tools and resources to enhance precision agriculture through advanced machine learning techniques.

#50

troudot-42-ai-ml-spec/leaffliction

Implementation of a CNN-based plant disease classifier with TensorFlow, featuring an image transformation pipeline and augmentation tools.

#56

aayushkarkiii/Land-Segmentation

This project appears to be focused on semantic segmentation of land areas using deep learning, particularly U-Net models. It's a typical application in remote sensing, agricultural mapping, or urban planning.

#57

ahmed-ibrahim-asl/AgriGuard-Project

My Bachelor’s project in Communication and Electronics Engineering, AgriGuard leverages technology to optimize fertilizer and pesticide use, improving soil health and crop yields while promoting sustainable farming. With precise monitoring, it boosts production, reclaims land, and supports environmental sustainability.

#58

akihiko47/Wheat-Detector

Wheat Detector - is a program for determining the amount of wheat in the field, the density of wheat and the area of the field.

#60

Booss3my/eyes_on_the_ground_zindi

Eyes On The Ground (Computer vision) competition code

#62

davidjriva/Plant-Disease-Classifier

Classifies plant diseases on augmented data using PySpark, TensorFlow, Keras, etc.

#64

erickyegon/FreshHarvest

FreshHarvest is a deep learning project that detects fruit freshness using computer vision. It includes a CNN-based model, real-time Flask web interface, modular codebase, and evaluation tools—ideal for research or practical use in agriculture and food quality assurance.

#66

gpetrousov/ml_assignment_demokritos

autofarm - a crop-weed classification project for autonomous farming of the future.

#69

highcansavci/age-estimator

Age Estimator Model Using Cross Attention Between Face Crop and Features Other Than the Face

#72

ikeasamoahansah/detr-crop-detection

Crop detection model

#73

illrayy/DODA

Diffusion for Object-detection Domain Adaptation in Agriculture

#74

immanueljebaraj/LeafSync

Ai-Driven Agriculture Support System

#76

Jeffrey2600/crop_disease_prediction

This model has been developed using CNN algorithm. In Backend I've used Torch. For Frontend HTML,CSS,JAVASCRIPT

#77

KeerthanReddy048/agropred_backend

Enhancing Wheat Breeding with Multi-Trait Genomic Prediction & AI-Based Crop Monitoring

#78

KeynesYouDigIt/agml_data_harvest

An API for community contributions to AGML

#81

kozolex/Super-View-Crop-Video

Transform wide view video to simulate camera moving like a cameraman.

#82

Lnm127/DeepAgriNet

A Deep Learning Approach to Plant Disease Detection & Classification

#84

mb11797/Crop_Identifier

Robust and Automated identification of crops from images using Deep Learning

#85

MuhammedYahiya/Medicinal-Plant-Disease-Detection

A deep learning-based system for detecting diseases in medicinal plant leaves using a fine-tuned MobileNetV2 model trained with PyTorch. The system classifies healthy and diseased leaves with multiple categories and serves predictions via a Flask API. It uses data augmentation, custom train-test splits, and saves the best-performing model.

#86

Navkiran45/CropIQ

Empowering Agriculture Through Precision Weed Identification

#89

sacred-deer/leaf_counting_segmentation

Leaf Segmentation and Counting in Smart Agriculture Applications

#90

saha1972/Crop-disease-detection_using-TL

Makerere Fall Armyworm Crop: disease detection using Transfer Learning

#91

SANKETPise95/GreenScan-UAV

This repository provides a comprehensive approach to weed segmentation using UAV images, encompassing data preparation, model training, prediction, and evaluation.

#92

sfczekalski/plant_pathology

Classifier build to recognize disease on apple leaves images

#93

silentz/cv_crop_disease

Source files of computer vision for crop disease competition

#97

Tareq-Ahmad/DIP-Project-Codes

This repository provides scripts and notebooks for creating synthetic datasets by compositing weed images onto crop backgrounds, facilitating the training of deep learning models for agricultural applications.

#99

VIKAS9793/KrishiRakshak

"Krishi Rakshak" (कृषि रक्षक) - AI-Powered Crop Health Guardian Tagline: "स्वस्थ फसल, समृद्ध किसान" (Healthy Crops, Prosperous Farmers)

#100

vodp/img2dataset_with_crop

Doing image cropping at raw resolution then resize images to specified configs