Full Papers

Wild Berry image dataset collected in Finnish forests and peatlands using drones
Luigi Riz (Fondazione Bruno Kessler)*; Sergio Povoli (Fondazione Bruno Kessler); Andrea Caraffa (Fondazione Bruno Kessler); Davide Boscaini (Fondazione Bruno Kessler); Mohamed Lamine Mekhalfi (Fondazione Bruno Kessler); Paul Chippendale (Fondazione Bruno Kessler); Marjut Turtiainen (Arctic Flavours Association); Birgitta Partanen (Arctic Flavours Association); Laura Smith Ballester (Universitat Politecnica de Valencia); Francisco Blanes Noguera (Universitat Politecnica de Valencia); Alessio Franchi (GemmoAI); Elisa Castelli (GemmoAI); Giacomo Piccinini (GemmoAI); Luca Marchesotti (GemmoAI); Micael Santos Couceiro (Ingeniarius); Fabio Poiesi (Fondazione Bruno Kessler), 2024.

Soybean pod and seed counting in both outdoor fields and indoor laboratories using unions of deep neural networks
Tianyou Jiang (Shandong Agricultural University); Mingshun Shao (Shandong Agricultural University); Tianyi Zhang (Shandong Agricultural University); Xiaoyu Liu (Shandong Agricultural University); Qun Yu (Shandong Agricultural University)*, 2024.

A Framework for Enhanced Decision Support in Digital Agriculture Using Explainable Machine Learning
Ahmed Emam (University of Bonn)*; Mohamed Mohamed Farag (The University of Bonn); Jana Kierdorf (University of Bonn); Lasse Klingbeil (University of Bonn); Uwe Rascher ( Forschungszentrum Jülich); Ribana Roscher (Forschungszentrum Jülich), 2024.

Lincoln’s Annotated Spatio-Temporal Strawberry Dataset (LAST-Straw)
Katherine M.F. James (University of Lincoln); Karoline Heiwolt (University of Lincoln); Daniel Sargent (NIAB); Grzegorz Cielniak (University of Lincoln)*, 2024.

3D Phenotyping of Canopy Occupation Volume as a Major Predictor for Canopy Photosynthesis in Rice (Oryza sativa L.)
Jiaren Zhou (China Agricultural University); Man Zhang (China Agricultural University); Mengqi Zhang (China Agricultural University); Minjuan Wang (China Agricultural University)*, 2024.

Retrieval of sun-induced plant fluorescence in the O2-A absorption band from DESIS imagery
Jim Buffat (Forschungszentrum Jülich)*; Miguel Pato (German Aerospace Center (DLR)); Kevin Alonso (Starion Group c/o European Space Agency (ESA)); Stefan Auer (German Aerospace Center (DLR)); Emiliano Carmona (German Aerospace Center (DLR)); Stefan Maier (German Aerospace Center (DLR)); Rupert Müller (German Aerospace Center (DLR)); Patrick Rademske (Forschungszentrum Jülich); Uwe Rascher (Forschungszentrum Jülich); Hanno Scharr (Forschungszentrum Juelich), 2024.

Unsupervised Tomato Split Anomaly Detection using Hyperspectral Imaging and Variational Autoencoders
Mahmoud Abdulsalam (University of Lincoln)*; Usman Zahidi (University of Lincoln); Bradley Hurst (University of Lincoln); Simon Pearson (University of Lincoln); Grzegorz Cielniak (University of Lincoln); James M Brown (University of Lincoln), 2024.

KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation
Daniele Rege Cambrin (Politecnico di Torino)*; Eleonora Poeta (Politecnico di Torino); Eliana Pastor (Politecnico di Torino); Tania Cerquitelli (Dipartimento di Automatica e Informatica Politecnico di Torino); Elena Baralis (Politecnico di Torino); Paolo Garza (Politecnico di Torino), 2024.

RoWeeder: Unsupervised Weed Mapping through Crop-Row Detection
Pasquale De Marinis (University of Bari Aldo Moro)*; Gennaro Vessio (University of Bari Aldo Moro); Giovanna Castellano (University of Bari Aldo Moro, Italy), 2024.

Consolidation of symbolic instances using sensor data via tracklet merging for long-term monitoring of crops
Mark Niemeyer (German Research Center for Artificial Intelligence)*; Joachim Hertzberg (Osnabrück University); Grzegorz Cielniak (University of Lincoln), 2024.

Automated Generation of Accurate, Compact and Focused Crop and Weed Segmentation Models
Soma Dasgupta (Tata Consultancy Services Limited)*; Swarnava Dey (TCS Research, Tata Consultancy Services Ltd.), 2024.

Comparative Analysis of YOLOv9, YOLOv10 and RT-DETR for Real-Time Weed Detection
Ahmet Oğuz Saltık (University of Hohenheim)*; Alicia Allmendinger (University of Hohenheim); Anthony Stein (University of Hohenheim), 2024.

Towards Auto-Generated Ground Truth for Evaluation of Perception Systems in Agriculture
Christoph Krause (German Research Center for Artificial Intelligence)*; Mark Niemeyer (German Research Center for Artificial Intelligence); Janosch Bajorath (German Research Center for Artificial Intelligence); Naeem Iqbal (German Research Center for Artificial Intelligence); Joachim Hertzberg (Osnabrueck University), 2024.

AgriBench: A Hierarchical Agriculture Benchmark for Multimodal Large Language Models
Yutong Zhou (Leibniz Centre for Agricultural Landscape Research (ZALF))*, Masahiro Roy (Leibniz Centre for Agricultural Landscape Research (ZALF) & Brandenburg University of Technology Cottbus–Senftenberg), 2024.

Deep Learning Based Growth Modeling of Plant Phenotypes
Renke Hohl (University of Applied Sciences Mittelhessen); Moritz Schauer (Technische Hochschule Mittelhessen)*; Seyed Eghbal Ghobadi (THM), 2024.

A simple approach to pavement cell segmentation
Rostislav Shepel (University of Nottingham)*; Andres Romanowski (Wageningen University & Research); Mario Valerio Giuffrida (University of Nottingham), 2024.

Enhancing weed detection performance by means of GenAI-based image augmentation
Sourav Modak (University of Hohenheim)*; Anthony Stein (University of Hohenheim), 2024.

SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture
Andrew Heschl (University of Calgary)*; Mauricio C Murillo (University of Calgary); Keyhan Najafian (University of Saskatchewan); Farhad Maleki (McGill University), 2024.

Robust UDA for Crop and Weed Segmentation: Multi-Scale Attention and Style-Adaptive Techniques
Numair Nadeem (University of Regina)*; Muhammad Hamza Asad (University of Regina); Abdul Bais (University of Regina), 2024.

Ordinal-Meta Learning for Fine-grained Fruit Quality Prediction
Aayush Mishra (TCS Research)*; Manasi Patwardhan (TCS Research); Parijat Deshpande (TCS Research); Beena Rai (Tata Consultancy Services Limited), 2024.

Beyond Annotations: Efficient Wheat Head Segmentation Using L-Systems, Game Engines, and Student-Teacher Models
Hosein Beheshtifard (University of Calgary)*; Elijah Mickelson (University of Calgary); Keyhan Najafian (University of Saskatchewan); Farhad Maleki (McGill University), 2024.

Exploiting Boundary Loss for the Hierarchical Panoptic Segmentation of Plants and Leaves
Madeleine Darbyshire (University of Lincoln)*; Simon Parsons (University of Lincoln); Elizabeth Sklar (University of Lincoln), 2024.

Extended Abstracts

Generating High-Fidelity 3D Models of Individual Plants from Handheld Video Recordings
Constanza Andrea Molina Catricheo (University of Münster)*; Dominik Drees (University of Münster); Pierre Ouvrard (Swedish University of Agricultural Sciences); Devis Tuia (EPFL); Fabio Remondino (Fondazione Bruno Kessler); Adrien Sicard (Swedish University of Agricultural Sciences); Benjamin Risse (University of Münster) , 2024. [PDF]

PhenoGPT: Towards Language Interaction with Vision Models for Plant Phenotyping
Feng Chen (University of Edinburgh)*; Sotirios Tsaftaris (The University of Edinburgh); Mario Valerio Giuffrida (University of Nottingham), 2024. [PDF]

Prompt Engineering on a Foundation Model to Segment Symptomatic Arabidopsis Thaliana
Félicia Maviane-Macia (INRAe); Nemo Peeters (INRAe); Sabine Wiedemann (INRAe); David ROUSSEAU (Université d’Angers)*, 2024. [PDF]

Leveraging on Foundation Deep Neural Models for Individual Apple Tree Segmentation in Dense Orchards via Prompt Engineering in RGB Images
Herearii Metuarea (Université d’Angers); Frederic Didelot (INRAe); Kevin Guerif (INRAe); François Laurens (INRAe); Ludovic Bervas (INRAe); Pejman Rasti (University of Angers); Helin Dutagaci (Eskişehir Osmangazi Universiy); David ROUSSEAU (Université d’Angers)*, 2024.

A Weakly-Supervised Learning Approach for RGB Crop Detection Using UAV Imagery
Federico Antonio Pio A Canistro (University of Bari Aldo Moro ); Giovanna Castellano (University of Bari Aldo Moro, Italy); Pasquale De Marinis (University of Bari Aldo Moro)*; Gennaro Vessio (University of Bari Aldo Moro), 2024.

CISSS-Es: Curriculum-Including Semi-Supervised Sub-Ensembles for Plant Phenotyping
Nicolas Mandel (Universität zu Lübeck)*; Sebastian Otte (University of Lübeck); Pirunthan Keerthinathan (Queensland University of Technology); Lihong Zheng (Charles Sturt University Australia); Felipe Gonzalez (Queensland University of Technology); Jane Kelly (Charles Sturt University), 2024.