1. AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs
2. AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning
3. AIIRA: AI Institute for Resilient Agriculture
4. Arboretum: A large multimodal dataset enabling ai for biodiversity
5. Assisted Few-Shot Learning for Vision-Language Models in Agricultural Stress Phenotype Identification
6. BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity
7. Changes in the leaf area-seed yield relationship in soybean driven by genetic, management and environments: implications for high-throughput phenotyping
8. Class-specific Data Augmentation for Plant Stress Classification
9. Cyber-agricultural systems for crop breeding and sustainable production
10. Genetic Dissection of Heat Stress Tolerance in Soybean through Genome-Wide Association Studies and the Use of Genomic Prediction to Enhance Breeding Applications
11. High Temperature and Microbiome Conditions Affect Gene Expression in Soybean
12. Leveraging soil mapping and machine learning to improve spatial adjustments in plant breeding trials
13. Millets in the USA: Importance, Challenges, and Potential for Innovation
14. Multi-modal AI for Ultra-Precision Agriculture
15. Multi‐sensor and multi‐temporal high‐throughput phenotyping for monitoring and early detection of water‐limiting stress in soybean
16. Persistent monitoring of insect-pests on sticky traps through hierarchical transfer learning and slicing-aided hyper inference
17. Out-of-Distribution Detection Algorithms for Robust Insect Classification
18. Smart Connected Farms and Networked Farmers to Improve Crop Production, Sustainability and Profitability
19. Soybean Canopy Stress Classification Using 3D Point Cloud Data
20. Soybean Maturity Prediction using 2D Contour Plots from Drone based Time Series Imagery
21. Zero-Shot Insect Detection via Weak Language Supervision