ArtificiaI Intelligence in agriculture

Image Analysis

• Non-Destructive 3D+t MRI and Probabilistic Atlas Analysis for Quantitative Monitoring of Grapevine Trunk Diseases, Gargee Phukon, Romain Fernandez, Cédric Moisy, Loic Le Cunff, Maïda Cardoso, Christophe Goze-Bac - Cirad (FR), IFV (FR), CNRS (FR)
• Deep Learning for Early Pest Detection in Maize and Eggplant: Toward Sustainable Agriculture in Senegal, Awa Diattara, Khadim Toure, Mohamed Cisse, Oumar Mal Sarr, Moustapha Mbaye, Khadim Ngom - Univ. Gaston Berger (SE)
• Enhancing Detection of Common Beans Diseases Via Fast Gradient Sign Method-Trained Vision Transformers, Upendo Mwaibale, Neema Mduma - The Nelson Mandela African Institution of Science and Technology (TZ)
• AgriViTNet: A Smart Edge Vision Model for Early Plant Disease Detection in IoT Agriculture Systems, Doris-Khöler Nyabeye Pangop, Kengni Ngangmo Olga - Univ. of Ebolowa (CM)
• Efficient Few-Shot Learning for Rare Plant Diseases and Varieties in Digital Agriculture, Ilyass Moummad, Hervé Goëau, Jean-Christophe Lombardo, Pierre Bonnet, Alexis Joly - INRIA (FR), Cirad (FR)

Artificial Intelligence for food security & one health

• Bridging Mechanistic and Data-Driven Models: Physics-Guided Sequence Learning for Crop Growth and Yield, Julian Agudelo, Vincent Guigue, Cristina Manfredotti, Evelyne Lutton, Hadrien Piot - INRAE (FR), Agrial (FR)
• Machine Learning Approaches for Food Security Assessment, Roberto Interdonato, Mathieu Roche, Simon Madec, Maguelonne Teisseire, Sarah Valentin, Jérémy Lavarenne, Mehtab Alam Syed - Cirad (FR), INRAE (FR)
• Integrating of AI approaches to analyse agroecological transitions in the Mekong Delta, Thanh Ma, Mathieu Roche, Raphaëlle Ducrot - Can Tho Univ. (VN), INRAE (FR), Cirad (FR)
• PADI-web for plant health monitoring: overview, evaluation and future directions, Mathieu Roche, Marie Grosdidier, Isabelle Pieretti - Cirad (FR), INRAE (FR)
• Novelty Detection in Event Surveillance Documents, Edmond Menya, Roberto Interdonato, Dickson Odhiambo Owuor, Mathieu Roche - Cirad (FR), Strathmore Univ. (KE)
• Monitoring Livestock Mobility in Tropical Regions for Socio-Ecological Health, Jean-Daniel Cesaro, Serge Nabeneza - INRAE (FR)

Artificial Intelligence in Livestock

• Developping automatic recognition of behaviours of piglets thanks to videos and sounds systems, Denis Adèle, Ewa Kijak, Caroline Clouard, Céline Tallet - INRAE (FR), IRISA (FR)
• Automated monitoring of the activity of lactating sows in conventional and organic systems from the use of AI with video images, Téo Cochou, Nathanaelle Barry, Jean Bailly, William Hébrard, Stéphane Ferchaud, Mathieu Bonneau, Laurianne Canario - INRAE (FR)
• Learning Interpretable Behavioral Models of Pigs Using Timed Automata, Sacha Germain, Christine Largouet, Laurence Roze, Tassadit Bouadi - INRIA (FR)
• Where Buffalo and Cattle Meet: Modelling movements for risk management at the domestic - wildlife interface of Hwange National Park, Zimbabwe, Larisa Lee Cruz, Florent Rumiano, Eve Miguel, Arthur Perrotton, Christophe Le Page, Billy Mukamuri, Annelise Tran - Cirad (FR), MIVEGEC (FR), Univ. Zimbabwe (ZW)
• Using a combination of digital sensors to detect and characterize interactions between domestic and wild fauna, Clarisse Casella, Severine Deretz, Margot Lamarque, Gaëtan Bonnafe, Sébastien Douls, Christian Durand, Théo Martin, Jean-Baptiste Menassol - Cirad (FR) / INRAE (FR)
• Predicting Mastitis Risk in Dairy Cows via Coordinate-based Behavioral Monitoring and Parlor Data, Amelia Nelson, Renata Ivanek - Cornell Univ. (US)
 

Artificial Intelligence & biodiversity

• Plant biodiversity monitoring in field margins with AI through multi-species imagery, Giulio Martellucci, Fabrice Vinatier, Hervé Goëau, Pierre Bonnet, Alexis Joly - Institut Agro Montpellier (FR), INRAE (FR), CIRAD (FR), INRIA (FR)
• Monitoring of ground cover and vines in agroecological vineyards using unmanned aerial vehicles (UAVs): a tool for sustainable agronomic management in viticulture, Martin Faucher, Fabrice Vinatier, Anice Cheraiet, Guilhem Brunel, Denis Feurer, Léo Garcia - Institut Agro Montpellier (FR), INRAE (FR)
• Reconstruction of Root System Architecture in 2D+t: benchmarking loss functions in deep learning reconstruction pipelines, Loaï Gandeel, Romain Fernandez, Reza Akbarinia - INRIA (FR)
• Pre-processing of agronomic data: Application to weed prediction in La Réunion, Frédérick Fabre Ferber, Dominique Gay, Jean-Christophe Soulie, Marion Schwartz, Sandrine Auzoux, Odalric-Ambrym Maillard - Univ. La Reunion (FR), CIRAD (FR)
• Predicting the geographic origin of soil samples using Artificial Intelligence - Development of a proof of concept, Nour Souki, Jean-Christophe Soulie, Sandrine Auzoux, Alexandre Wadoux, Julien Demenois - CIRAD (FR), Univ. James Cook (AU)
• Counting large flea beetle larvae using computer vision, Jean-Eudes Hollebecq, Julie Auque, Afonso Ponce, Jean-Florent Voelker - Terres Inovia (FR)

Artificial Intelligence & phenotyping

• Describing wheat genotypes functioning by combining satellite and ground robot phenotyping observations, Raul Lopez-Lozano, Daniel Pasquel, Samuel Buis, Florian Larue, Rhianna McAneny, Philippe Burger, Baptiste Ortillion, Pierre Martre - INRAE (FR)
• High throughput phenotyping of cereal x alfalfa mixed crops, Benoit De Solan, Gaetan Daubige, Mathieu Marguerie, Jordan Bernigaud Samatan, Marie Weiss, Sylvain Jay, Samuel Thomas, Mario Serouart - ARVALIS (FR), INRAE (FR)
• DADY: Deep Learning for spatiotemporal and multispectral drone data analysis in southern agroecological systems to improve trait prediction across genotypes and environments, Romain Fernandez, Florian Dubois, Grégory Beurier, Lauriane Rouan, Denis Cornet, Alain Audebert, Sergio Castro Pacheco, Frédéric Boudon, Dino Ienco, Cassio Dantas - INRAE (FR), Cirad (FR), INRIA (FR)
• Advancing Coffee Management Mapping through Multisensor Data and Multistep Ensemble Learning, Taya Cristo Parreiras, Édson Luis Bolfe, Danielle Elis Garcia Furuya - Univ. Campinas (BR), Embrapa (BR)
• Estimating daily high-resolution green area index (GAI) for wheat using PlanetScope data, Rhianna McAneny, Marie Weiss, Raul Lopez-Lozano, Jérémy Labrosse, Jingwen Wang, Mingxia Dong, Qiaoming Chen, Hegel Aasen - INRAE (FR), Hiphen (FR), Shenzhen Institutes of Advanced Technology (CN), Nanjing Agricultural University (CN), Univ. of Queensland (AU), Agroscope (CH)
• A systematic review of Earth observation, crop modelling, and artificial intelligence for yield estimation in smallholder farming systems of Sub-Saharan Africa, Caroline Akinyi Owuor, Louise Leroux, Siyabusa Mkuhlani, Marc Corbeels, Ali El-Battay, Abdelghani Chehbouni - UMVI (MA), CGIAR-IITA (KN), Cirad (KN)

Generative Artificial Intelligence

• Opening the Black Box of Adoption: Learning Pathways in Farmer Engagement with GenAI Tool FarmerChat, Eliot Jones-Garcia, Gashaw Abate, Krisitin Davis, Niyati Singaraju, Dickson Kinuthia, Tushar Singh - CGIAR IFPRI (US/IN), CGIAR IRRI (IN) 
• AI for local-language farm advisory: A multilingual and voice-enabled RAG system for low- and middle-income countries, Arnab Gupta, Cor Verdouw, Robbert Robbemond, Joep Tummers - Wageningen Social & Economic Research (NL)
• Speech Recognition for African Agriculture: Building Inclusive and Scalable Language Technologies for Low-Resource Contexts, Nelson Mgunga, Eliot Jones-Garcia, Nathaniel Ofori, Kristin Davis - IFPRI (US), Farm Radio International (CA)