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De Guzman, C
Tyson, C.T
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Authors
Dos Santos, R
Oliveira, L
Sales, L.D
Barbosa, M
Tyson, C.T
Carrillo Montoya, K
De Guzman, C
Burgos, N
Ramos, L
Gyanwali, P
Uzoetoh, U
McCarty, D
Reddy Kalluri, R
Mason, D
Topics
Precision Horticulture and Specialty Crop Management
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Type
Oral
Year
2026
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Filter results2 paper(s) found.

1. Evaluation of an Ai-Driven High-Precision Spraying System for Targeted Weed Control in Onions

Weeds are a persistent challenge in the Vidalia onion production region, where limited herbicide options make placement and selectivity critical. AI-based high-precision spraying systems may reduce herbicide use and crop injury by targeting only weeds and non-crop areas. This study compared the Ecorobotix ARA high-precision sprayer operating in an all-but-the-crop mode with a conventional broadcast application for weed control, crop phytotoxicity, and onion performance. A field trial was conducted... R. Dos Santos, L. Oliveira, L.D. Sales, M. Barbosa, C.T. Tyson

2. Temporal NDRE Dynamics from UAS Imagery to Characterize Rice Drought Response

Characterizing drought resilience in rice remains challenging under increasing climate variability. Drought tolerance is a complex and dynamic trait that is difficult to quantify using traditional field phenotyping approaches, particularly when responses vary with time. High-throughput temporal phenotyping with unmanned aircraft systems (UAS) enables monitoring of canopy reflectance dynamics associated with water stress across the growing season. This study evaluated whether temporal...