80 citations · 80 across the 2 of their papers we have counts for
2 papers
cs.CV2025
PhytoSynth: Leveraging Multi-modal Generative Models for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach
Nitin Rai, Arnold W. Schumann, Nathan Boyd
Collecting large-scale crop disease images in the field is labor-intensive and time-consuming. Generative models (GMs) offer an alternative by creating synthetic samples that resem…
cs.CV2021★ 80 cited
Deep Learning Techniques for In-Crop Weed Identification: A Review
Kun Hu, Zhiyong Wang, Guy Coleman +6
Weeds are a significant threat to the agricultural productivity and the environment. The increasing demand for sustainable agriculture has driven innovations in accurate weed contr…