2 papers
cs.CV2025
Evaluating the Role of Training Data Origin for Country-Scale Cropland Mapping in Data-Scarce Regions: A Case Study of Nigeria
Joaquin Gajardo, Michele Volpi, Daniel Onwude +1
Cropland maps are essential for remote sensing-based agricultural monitoring, providing timely insights without extensive field surveys. Machine learning enables large-scale mappin…
cs.CV2025
Weakly Supervised Panoptic Segmentation for Defect-Based Grading of Fresh Produce
Manuel Knott, Divinefavour Odion, Sameer Sontakke +2
Visual inspection for defect grading in agricultural supply chains is crucial but traditionally labor-intensive and error-prone. Automated computer vision methods typically require…