crop-detection
weed_crop_detection
Weed Crop Detection
A dataset for object detection of weeds and crops in fields. The dataset contains 1,120 images with 17,693 bounding box annotations across 13 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{upadhyay2025weed,
title={Weed-crop dataset in precision agriculture: Resource for AI-based robotic weed control systems},
author={Upadhyay, Arjun and Mahecha, Maria Villamil and… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/weed_crop_detection.greenhouse_crop_weed_detection
Greenhouse Crop Weed Detection
A dataset for detection of crops and weeds in a greenhouse. The dataset contains 200 images with 11,192 bounding box annotations across 14 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{sunil2024novel,
title={A novel automated cloud-based image datasets for high throughput phenotyping in weed classification},
author={Sunil, GC and Koparan, Cengiz and… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/greenhouse_crop_weed_detection.crop-burn-detection-raw
Crop Burn Detection — Raw Sentinel-2 (India, 2025)
Paired RGB + SWIR Sentinel-2 satellite image tiles across agricultural districts of northern India, capturing the paddy (Oct–Nov 2025) and wheat (Mar–May 2025) burning seasons. Built to train and benchmark vision models for real-time crop residue burn detection — including models designed to run directly on satellites.
Why We Built This
Every October and November, farmers across Punjab, Haryana, Uttar Pradesh, Rajasthan… See the full description on the dataset page: https://huggingface.co/datasets/munish0838/crop-burn-detection-raw.vegetable_crop_early_detection
Vegetable Crop Early Detection
A dataset for early stage object detection of vegetable crops. The dataset contains 2,801 images with 17,387 bounding box annotations across 6 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{lac2022annotated,
title={An annotated image dataset of vegetable crops at an early stage of growth for proximal sensing applications},
author={Lac, Louis and… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/vegetable_crop_early_detection.Crop-Waterlogging-Condition-Detection-Dataset
Crop Waterlogging Condition Detection Dataset
The current agricultural sector faces challenges related to climate change and water resource management. The issue of crop waterlogging is becoming increasingly serious, affecting crop growth and yield. Existing monitoring methods largely rely on manual inspection, which is inefficient and prone to errors, unable to provide real-time feedback on crop status. This dataset aims to help AI systems quickly identify and predict crop… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Crop-Waterlogging-Condition-Detection-Dataset.crop_weed_detection_latvia
Crop Weed Detection Latvia
A dataset for detection of crops and weeds. The dataset contains 1,176 images with 7,853 bounding box annotations across 2 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{sudars2020dataset,
title={Dataset of annotated food crops and weed images for robotic computer vision control},
author={Sudars, Kaspars and Jasko, Janis and Namatevs, Ivars and Ozola, Liva… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/crop_weed_detection_latvia.