Datasets for Agricultural research

This is a collection of datasets for either time series, images (2D) or 3D datasets for technology applied in agriculture. Almost all dataset can be be download from the internet and are already found in FOLA (Agroscope internal network). PLEASE let me know if you know about another dataset :)

The structure is quite simple:

- dimension
	- dataset1_folder
	- ...
	- database.json
	- summary.ipynb

Add additional folder called 'to_organize' maybe present for datasets who have not been added into database.json.

Available datasets

Dimension 1

Name	Identification	Class	Type	Paper	Authors	Year	URL	URL2	DOI	Description	Modifications	Status
SoyFACE Fumigation	SoyFACEF	['Maiz', 'Soybean']	['']	Two decades of fumigation data from the Soybean Free Air Concentration Enrichment facility	Aspray et al	2023	https://databank.illinois.edu/datasets/IDB-6464604		https://doi.org/10.13012/B2IDB-3496460_V4			archived
PlantWaterStatus_IrrigatedAlmonds_California	PWSIAC	['Almonds']	['']	None	Thomas and Knowles	2024	https://doi.org/10.5281/zenodo.13315553		https://doi.org/10.5281/zenodo.13315553	Microtensiometers, scholander measurements and meteorology data from irrigated almost in california	None	archived

Dimension 2

Name	Identification	Class	Type	Paper	Authors	Year	URL	URL2	DOI	Description	Modifications	Status
ACFR Orchard Fruit Dataset	acfr-fruit-almonds	['fruit', 'almond']	['object detection']	Image Based Mango Fruit Detection, Localisation and Yield Estimation Using Multiple View Geometry	Underwood and Bargoti	2016	https://data.acfr.usyd.edu.au/ag/treecrops/2016-multifruit/			Small tilles of fruits in trees	20240411: Was divided in val, train and test using the txt provides by authors	archived
ACFR Orchard Fruit Dataset	acfr-fruit-apples	['fruit', 'apple']	['object detection', 'instance segmentation']	Image Based Mango Fruit Detection, Localisation and Yield Estimation Using Multiple View Geometry	Underwood and Bargoti	2016	https://data.acfr.usyd.edu.au/ag/treecrops/2016-multifruit/			Small tilles of fruits in trees	20240411: Was divided in val, train and test using the txt provides by authors	archived
ACFR Orchard Fruit Dataset	acfr-fruit-mangoes	['fruit', 'mango']	['object detection']	Image Based Mango Fruit Detection, Localisation and Yield Estimation Using Multiple View Geometry	Underwood and Bargoti	2016	https://data.acfr.usyd.edu.au/ag/treecrops/2016-multifruit/			Small tilles of fruits in trees	20240411: Was divided in val, train and test using the txt provides by authors	archived
AppleScabFDs	AppleScabFDs	['fruit', 'apple']	['classification']		Kodors et al	2021	https://www.kaggle.com/datasets/projectlzp201910094/applescabfds					archived
AppleScabLDs	AppleScabLDs	['leaf', 'apple']	['classification']		Kodors et al	2021	https://www.kaggle.com/datasets/projectlzp201910094/applescablds					archived
Agroscope apple	AGS_apple	['fruit', 'apple']	['object detection']		Chiang	2024				Agroscope dataset for apple fruit counting	Labels from ppt to txt	archived
Deep blueberry	Deep_blueberry	['fruit', 'blueberry']	['object detection', 'instance segmentation']		Gonzalez et al.	2019	https://ieeexplore.ieee.org/document/8787818	10.1109/ACCESS.2019.2933062		Blue berry detection on 293 images and instance segmentation on 7 images	Annotation files were modified as were not done in VIA. Additionaly the instance segmentation pictures (7) were rotated as they dont match the provided pictures	archived
deepFruits	deepFruits	['fruit', 'apple', 'capsicum', 'strawberry']	['object detection']		Inkyu et al	2016	http://enddl22.net/wordpress/datasets/deepcrops-datasets-and-annotation-tool			Object detection on 7 species. Only three were downloaded (apple, capsicum and strawberry)	Different size.	archived
downly_mildew_images	downly_mildew_images	['leaf', 'grape']	['instance segmentation']		Abdelghafour et al	2021	https://pubmed.ncbi.nlm.nih.gov/34258341/			Instance segmentation in grape, specialy focus on downly mildew	Mask may need to be converted to annotations	archived
Multi-species fruit flower detection using a refined semantic segmentation network	WSU_flowers	['flowers', 'apple', 'peach', 'pear']	['object detection']	Multispecies fruit flower detection using a refined semantic segmentation network	Dias et al	2018	https://agdatacommons.nal.usda.gov/articles/dataset/Data_from_Multi-species_fruit_flower_detection_using_a_refined_semantic_segmentation_network/24852636		http://dx.doi.org/10.15482/USDA.ADC/1423466			archived
KFuji RGB-DS database	KFS	['fruit', 'apple']	['object detection']		Gené-Mola et al.	2019	http://www.grap.udl.cat/en/publications/KFuji_RGBDS_database.html	https://zenodo.org/record/3715991#.YrQqfNJByV4			annotations were changed from x1-y1-widh-height to x1y1x2y2 format	nan
laboro_tomato	laboro_tomato	['fruit', 'tomato']	['object detection', 'instance segmentation']		Laboro AI	2019	https://github.com/laboroai/LaboroTomato			Tomatos (Normal and cherry) in three maturity status	Added object detection in YOLOv5 Format	archived
Minneapple	MA	['fruit', 'apple']	['instance segmentation']		Häni et al	2019	https://github.com/nicolaihaeni/MinneApple			1000 apples tree images with more than 41k manual annotations	DONE, USED	nan
MOrangeT	MOR	['fruit', 'orange']	['object detection']		Santos et al	2024	https://www.redape.dados.embrapa.br/dataset.xhtml?persistentId=doi:10.48432/OI7BFG			Oranges in trees. include green oranges
PApple_RGB-D-Size dataset	PAS	['fruit', 'apple']	['instance segmentation']		Ferrer Ferrer M et al 2022	2022	http://www.grap.udl.cat/en/publications/PApple_RGB-D-Size.html	https://gofile-36514d3739.fr3.quickconnect.to/sharing/brPZduTyi			annotations were changed from instance segmentation to object segmentation x1y1x2y2 format	nan
PlantDoc	PD	['leaf']	['object detection']		Singh et al.	2020	https://github.com/pratikkayal/PlantDoc-Dataset	https://public.roboflow.com/object-detection/plantdoc		Disease detection on 13 plant species	resized to 416 x 416 thanks to roboflow	nan
Plant-pathology-2020-fgvc7	PPA	['leaf', 'apple']	['instance segmentation']		Thapa et al. 2020	2020	https://www.kaggle.com/c/plant-pathology-2020-fgvc7			Disease detection in leaves of apple trees.
Plant_phenotyping	PP	['leaf']	['instance segmentation']		Plant phenotyping	2014, 2015, 2017	https://www.plant-phenotyping.org			3 Datasets for leaf instance segmentation on Arabidopsis and Tobacco
PlantVillage	PV	['leaf']	['classification']		Hugues and Salathe	2016	https://data.mendeley.com/datasets/tywbtsjrjv/1	https://www.tensorflow.org/datasets/catalog/plant_village		PlantVillage dataset consists of 54303 healthy and unhealthy leaf images divided into 38 categories by species and disease
Rob2Pheno	RP	['fruit', 'tomato']	['instance segmentation']		Afonso et al	2021	https://research.wur.nl/en/datasets/rob2pheno-annotated-tomato-image-dataset			123 RGBD pictures took with Realsense D435
strawberry-semantic-segmentation	SSS	['fruit', 'strawberry']	['instance segmentation']		NaN	NaN	https://www.kaggle.com/datasets/woodiedudy/strawberry-segmentation-dataset			141 strawberries images with masks for berries, leaves, stems and flowers
strawberry-disease-detection-dataset	SD	['fruit', 'strawberry']	['object detection']		Afzaal et al	2021	https://www.kaggle.com/usmanafzaal/strawberry-disease-detection-dataset			2500 images for 7 diferent diseases in strawberry
strawberry-dataset-for-object-detection	SDO	['fruit', 'strawberry']	['object detection']		Pastell et al	2022	https://zenodo.org/record/6126677#.YrQMe9JByV5	https://www.luke.fi/en/projects/poimintarobottieip-01		813 images in two classes	Reclassfied to 4 different classes	nan
strawberry-skripsie	SSK	['fruit', 'strawberry']	['object detection']		NaN	2021	https://universe.roboflow.com/skripsie/strawberry.00/15			450 images in one class	Reclassfied to 4 different classes	nan
strawberry Digital Images	SDI	['fruit', 'strawberry']	['instance segmentation']		Perez-Borrero et al	2020	https://strawdi.github.io/			3.1K images of strawberries on field	DONE, USED	nan
strawberry detection	STL	['fruit', 'strawberry']	['instance segmentation']		Perez-Borrero et al	2020	https://strawdi.github.io/			3.1K images of strawberries on field	DONE, USED	nan
strawberry tipburn detection	STD	['leaf', 'strawberry']	['classification']		Hairi and Avsar	2022	https://www.kaggle.com/datasets/ercanavsar/images-of-strawberry-leaves-for-tipburn-detection
tomatOD	TD	['fruit', 'tomato']	['object detection']		Tsironis et al. 2020	2021	https://github.com/up2metric/tomatOD			277 images for 2418 annotated tomato fruits in three categories (1592 unripe, 395 semi-ripe, 431 fully ripe
tomato_detection	TE	['fruit', 'tomato']	['object detection']		??	2020	https://makeml.app/datasets/tomato			895 images for tomatoes without categories (class =1, tomatoes)
tomato_leaves_disease	TLD	['leaf', 'tomato']	['classification']		NaN	2021	https://www.kaggle.com/datasets/kaustubhb999/tomatoleaf
WGN_broccoli_RGBD	WGNB	['fruit', 'broccoli']	['instance segmentation']		Blok 2021	2021	https://data.4tu.nl/articles/dataset/Data_underlying_the_publication_Image-based_size_estimation_of_broccoli_heads_under_varying_degrees_of_occlusion/13603787			RGBD for annodal network
WSU_apple	WSUA	['fruit', 'apple']	Object detection		Santosh Bhusal, Manoj Karkee and Qin Zhang	2019	https://rex.libraries.wsu.edu/esploro/outputs/dataset/Apple-Dataset-Benchmark-from-Orchard-Environment/99900502619401842#details			Apple Dataset Benchmark from Orchard Environment in Modern Fruiting Wall	This dataset contain multiple datasets	nan
WSU_apple_depth	WSUAD	['fruit', 'apple']	['object detection']		Longsheng Fu, Manoj Karkee and Qin Zhang	2020	https://rex.libraries.wsu.edu/esploro/outputs/dataset/Scifresh-Apple-Orignial-and-DepthFilter-RGB/99900501726801842			Scifresh Apple Orignial and DepthFilter RGB Images
RumexWeeds	RumexWeeds	['Plant']	['object detection', 'instance segmentation']	RumexWeeds: A grassland dataset for agricultural robotics	Güldenring et al	2023	https://dtu-pas.github.io/RumexWeeds/	https://data.dtu.dk/ndownloader/files/39268307		Rumex detection and segmentation		archived
ThermalMix	ThermalMix	['Others']	['image alignment']	Exploring Multi-modal Neural Scene Representations With Applications on Thermal Imaging	Özer et al	2024	https://zenodo.org/records/11065834			Thermal and RGB aligned
FruitNeRF	FruitNeRF	['fruit']	['instance segmentation']	FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework	Meyer et al	2024	https://zenodo.org/records/10869455			2D and 3D	Divided in 2D and 3D	archived
mva2023_birds	mva2023_birds	['birds']	['instance segmentation']	MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results	Kondo et al	2023	https://github.com/IIM-TTIJ/MVA2023SmallObjectDetection4SpottingBirds?tab=readme-ov-file	https://github.com/kakitamedia/drone_dataset		Bird detection in one categories	This dataset had 3 datasets: train 1, train 2 and test. train one have more images that the documented, train 2 was correct and test have no annotations. Additionaly many of the images were obtained from camera videos what make them no so usefull. Using embeding we subsample the dataset (train 1 and train 2) and change the labels to YOLO format	archived
Agroscope insects	AGS_insects	['insects']	['object detection', 'instance segmentation']		Chiang et al	2024				Agroscope dataset for insect detection	Splitted between train, test and evaluation. Mask to annotations, annotations to boxes	archived
AmodalAppleSize_RGB-D	AmodalAppleSize_RGB-D	['fruit']	['object detection', 'instance segmentation']		Gené Mola et al	2023	https://dataverse.csuc.cat/dataset.xhtml?persistentId=doi:10.34810/data916			Gene masks for amodal segmentation of apples
Monastery Apple Dataset	MAD	['fruit']	['object detection']			2023	https://www.inf.uni-hamburg.de/en/inst/ab/cv/people/wilms/mad.html
MSUAppleData		['object detection']	['']	O2RNet: Occluder-occludee relational network for robust apple detection in clustered orchard environments	Chu et al	2023	https://github.com/pengyuchu/MSUAppleDatasetv2?tab=readme-ov-file	https://zenodo.org/records/7925397#.ZF0BVC_MJ9c
		['']	['']	The FIP 1.0 Data Set: Highly Resolved Annotated Image Time Series of 4,000 Wheat Plots Grown in Six Years								Not downloaded.
		['']	['']				https://www.research-collection.ethz.ch/handle/20.500.11850/652840
TOBEDOWNLOADED		['']	['']	A Multi-Stage, Pixel-Level Annotated Apple Dataset for Precision Agriculture Research			https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5396602
		['trunk', 'apple', 'leaf']	['instance segmentation']	Individual Segmentation of Intertwined Apple Trees in a Row via Prompt Engineering	Metuarea et al	2025		https://entrepot.recherche.data.gouv.fr/dataset.xhtml?persistentId=doi:10.57745/DZBMAM
An annotated image dataset for small apple fruitlet detection in complex orchard environments	AIDA_fruitlet	['apple']	['instance segmentation']		Wang and Wang	2026	https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2025.1664972/full		https://doi.org/10.3389/fpls.2025.1664972	Annotated RGB images from apple fruitlets		archived

Dimension 3

Name	Identification	Class	Paper	Authors	Year	URL	URL2	Equipment	Description	Modifications	Status
Biomass_evaluation_LIDAR	Biomass_evaluation_LIDAR	Trees - No leaves	Advancing Fine Branch Biomass Estimation with Lidar and Structural Models		2024	https://github.com/VEZY/Biomass_evaluation_LiDAR		Riegl VZ-400	Walnut trees without leaves	None	Raw
Blueberries	Blueberries	Bush - With leaves	3D point cloud data to quantitatively characterize size and shape of shrub crops	Jiang	2019	https://doi.org/10.1038/s41438-019-0123-9	https://figshare.com/s/2abb4eeadfda4103545b	ZEB1 scanner	47 bushes of raspberry plants with leaves	None	Raw
Brocoli	Brocoli	Organ	Image-based size estimation of broccoli heads under varying degrees of occlusion	Blok, P., van Henten, E., van Evert, F. and Kootstra, G.	2021	https://doi.org/10.1016/j.biosystemseng.2021.06.001	https://git.wur.nl/blok012/sizecnn	RGBD - Realsense D435	Brocoli heads for occlusion studies	None	Raw
cacao_cameroon	cacao_cameroon	Trees - With leaves	Terrestrial LiDAR point cloud dataset of cocoa trees grown in agroforestry systems in Cameroon	Peynaud, E. and Momo, S.	2024	https://doi.org/10.1016/j.dib.2024.110108	https://dataverse.cirad.fr/dataset.xhtml?persistentId=doi:10.18167/DVN1/5HZB1F	Leica C10	Cocoa tree point clouds obtained by terrestrial Lidar scanning (TLS) in agroforestry systems in Cameroon	None	Raw
FOR-instance	FOR-instance	Trees - With leaves	FOR-instance (FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees)	Puliti et al	2023	https://arxiv.org/abs/2309.01279		Riegl - Multiple sensors	Trees datasets	None	Raw
ROSE-X	ROSE-X	Bush - With leaves	ROSE-X: an annotated data set for evaluation of 3D plant organ segmentation methods	Dutagaci et al	2020	https://plantmethods.biomedcentral.com/articles/10.1186/s13007-020-00573-w		Siemens X-ray	Rose plants on 3D	None	Raw
TUMBA		Trees - With leaves	Tumbarumba Wet Eucalypt Terrestrial LiDAR, 2022	Shaun et al	2022	https://researchdata.edu.au/tumbarumba-wet-eucalypt-lidar-2022/2766669		Riegl VZ-2000i Terrestrial Laser Scanner	Australian eucalyptus	None	Raw
VineLIDAR	VineLIDAR	Bush - With leaves	High resolution LiDAR dataset acquired using UAV (unmanned aerial vehicle) over two vineyards and two years located in 'Tomiño', Pontevedra, Spain	Vélez, S., Ariza-Sentís, M., & Valente, J.	2023	https://zenodo.org/records/8113105		DJI Zenmuse L1	High-resolution UAV-LiDAR vineyard dataset acquired over two years in northern Spain	None	Raw
Grapevine_prunning_data	Grapevine_prunning_data	Bush - No leaves	3D Skeletonization of Complex Grapevines for Robotic Pruning	Schneider et al	2023	https://labs.ri.cmu.edu/aiira/resources/	https://drive.google.com/drive/folders/1O_i01eBknf8hUb0zXSWHcSAw2sB1OJcz	RGBD - PointGrey CM3	Wine plants	None	Raw
Weiser_2024	Weiser_2024	Trees - With leaves	Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation	Weisser et al	2024	https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/UUMEDI	https://doi.org/10.11588/data/UUMEDI	RIEGL VZ-400 TLSRIEGL VZ-400 TLS	Forestry trees	None	Raw
Vicari_2018a	Vicari_2018a	Trees - With leaves	Leaf and wood classification framework for terrestrial LiDAR point clouds: Simulated data validation dataset	Vicari et al	2018	https://zenodo.org/records/1324158		Simulation	Forestry trees	None	Raw
Vicari_2018b	Vicari_2018b	Trees - With leaves	Leaf and wood classification framework for terrestrial LiDAR point clouds: Field data validation dataset	Vicari et al	2018	https://zenodo.org/records/1324156		Riegl VZ-400	Forestry trees	None	Raw
Westling_2021	Westling_2021	Trees - With leaves	Graph-based methods for analyzing orchard tree structure using noisy point cloud data	Westling et al	2021	https://data.mendeley.com/datasets/d6k5v2rmyx/1		Multiple	Agricultural trees	None	Raw
Momo_takoudjou_2018	Momo_takoudjou_2018	Trees - With leaves	Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: a comparison with traditional destructive approach	Momo takoudjou et al	2018	https://datadryad.org/stash/dataset/doi:10.5061/dryad.10hq7		Leica C10 Scanstation	tropical trees	None	Raw
Wytham woods	Wytham woods	Trees - With leaves	Virtual forest for radiative transfer modelling: realistic stand reconstruction from terrestrial LiDAR	Calders et al	2018	https://bitbucket.org/tree_research/wytham_woods_3d_model/src/master/		RIEGL VZ-400	forestry trees	None	Raw
CVPPA_ECCV_2024_bell_peper	CVPPA_ECCV_2024_bell_peper	Organ	Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction of Fruits for Agricultural Robots	Magistri et al	2024	https://www.ipb.uni-bonn.de/data/shape_completion/index.html		RGBD - Realsense D435	Sweet peper rgb frames for reconstruction	None	Raw
SoyBean-MVS	SoyBean-MVS	Plant	Soybean-MVS: Annotated Three-Dimensional Model Dataset of Whole Growth Period Soybeans for 3D Plant Organ Segmentation	Sun et al	2023	https://www.kaggle.com/datasets/soberguo/soybeanmvs?resource=download		RGB - Canon EOS 600D SLR		None	Raw
Momo_takoudjou_2018_annotated	Momo_takoudjou_2018_annotated	Trees - With leaves	LeWoS: A universal leaf‐wood classification method to facilitate the 3D modelling of large tropical trees using terrestrial LiDAR	Wang et al	2021	https://datadryad.org/stash/dataset/doi:10.5061/dryad.np5hqbzp6		Leica C10 Scanstation	Manually Annotated dataset from momo 2018	None	Raw
FruitNeRF	FruitNeRF	Trees - With leaves	FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework	Meyer et al	2024	https://zenodo.org/records/10869455		RGB	2D and 3D	Divided in 2D and 3D	Raw
			NIBIO_MLS: a forest point cloud panoptic segmentation dataset from mobile laser scanning (Geoslam Horizon)	Puliti and Astrup	2024	https://zenodo.org/records/12754726
TomatoWUR	TomatoWUR	Plant	TomatoWUR: an annotated dataset of 3D tomato plants to quantitatively evaluate segmentation, skeletonisation, and plant trait extraction algorithms for 3D plant phenotyping	Marrewijk, van et al	2025	https://data.4tu.nl/datasets/e2c59841-4653-45de-a75e-4994b2766a2f/2	https://github.com/WUR-ABE/TomatoWUR?tab=readme-ov-file	RGB	2D and 3D	None	Raw
FOR-species20K	FOR-species20K	Trees - With leaves	Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset	Puliti et al	2025	https://zenodo.org/records/13255198		Multiple	3D		Raw
Terrestrial laser scanning - RIEGL VZ-1000, individual tree point clouds and cylinder models, Belgian hedgerows and tree rows	Van Den Berge Sanne_2021			Van Den Berge Sanne et al.	2021	https://zenodo.org/records/4487116#.YNL8x-gzYuV			3D		Raw
AppleGrowthVision			A large-scale stereo dataset for phenological analysis, fruit detection, and 3D reconstruction in apple orchards	von Hirschhausen et al.	2025	https://fraunhoferhhi.github.io/AppleGrowthVision/			Stereo		Raw
HOPS						https://www.ipb.uni-bonn.de/data/hops/					Raw
BSAIL-cotton		Plant		Jiang et al	2025	https://github.com/UGA-BSAIL/plant_3d_deep_learning	https://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Bsail_cotton_plant_part_segmentation_3d_lidar_2022				Raw
GrapeCPNet		Fruit		Zhang et al	2025	https://github.com/I3-Laboratory/GrapeCPNet					Raw
		Trees - With leaves				https://zenodo.org/records/10792723			Apple with termal image		Raw
A Novel Adaptive Cuboid Regional Growth Algorithm for Trunk–Branch Segmentation of Point Clouds from Two Fruit Tree Species		Trees - No leaves		Cao et al	2025		https://github.com/henry3539/acrgs?tab=readme-ov-file		Shared by email		Raw
AppleQSM		Trees - No leaves	AppleQSM: Geometry-Based 3D Characterization of Apple Tree Architecture in Orchards	Qiu et al	2024	https://github.com/suptimq/AppleQSM/tree/master?tab=readme-ov-file	https://figshare.com/articles/dataset/AppleQSM-Row13/26215094				Raw
LAUTx				Tockner et al	2022	https://zenodo.org/records/6560112					Raw
PureForest						https://huggingface.co/datasets/IGNF/PureForest					Raw
MS-ALS-SPECIES			Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms			https://www.zenodo.org/records/17077256					Raw
			Towards Robotic Pruning: Automated Annotation and Prediction of Branches for Pruning on Trees Reconstructed using RGB-D Images			https://puh.srce.hr/s/EoPqgASGerLapne?path=%2F	https://github.com/ividovic/BRANCH_pipeline?tab=readme-ov-file				Raw
3D Point Clouds of Trees and Apple Fruit Annotated with Thermal Data			Fruit surface temperature data at different ripeness stages and ambient temperature provided as temperature-annotated 3D point clouds of apple trees	Zude-Sasse et al	2024	https://zenodo.org/records/10792723					Raw
Temperature annotated 3D Point Cloud of sweet cherry trees in climate chamber				Zude-Sasse et al	2024	https://zenodo.org/records/10687819					Raw
Seasonal leaf area data of apple trees (3 years) read by reference LiDAR and lowcost RGB-D sensors						https://zenodo.org/records/14193515			Example dataset. 1 tree of 80 along 3 years, in just some days...		Raw
TLS forest instance segmentation benchmark: 2983 manually segmented trees from four plots						https://zenodo.org/records/14615493
			3D high-resolution point cloud of apple shapes and UAV videos in apple orchards	Wang et al	2026	https://zenodo.org/records/15635995
Bornard_2023						https://www.envidat.ch/#/metadata/individual-tree-tls-point-clouds-for-tree-volume-estimation
Bornard_2024						https://zenodo.org/records/13303159
deep_pheno_tree_apple				Metuarea et al	2026	https://entrepot.recherche.data.gouv.fr/dataset.xhtml?persistentId=doi:10.57745/NORPF1
SEEmear: high-resolution georeferenced RGB-D data from apple orchard under palmette training system	SEEmear					https://zenodo.org/records/17750202