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National Agricultural Library
U.S. Department of Agriculture
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  4. INTEGRATED WEED MANAGEMENT PROGRAMS FOR TOMATO USING AI MACHINE VISION AND GEOREFERENCED WEED MAPPING TO REDUCE HERBICIDE INPUTS

INTEGRATED WEED MANAGEMENT PROGRAMS FOR TOMATO USING AI MACHINE VISION AND GEOREFERENCED WEED MAPPING TO REDUCE HERBICIDE INPUTS

Objective

Goal1: Utilize video imagery collected during field operations to map weed populations, monitor population change over time, focus management efforts, and evaluate IPM program effectiveness.Goal2: Compare commercial weed management programs with precision integrated weed management programs that rely on smart spray technology.Goal 3: Evaluate smart spray technology for pre- and post-emergence herbicide applications.Goal 4: Utilize smart spray technology to promote the adoption of IWM programs.

Investigators
Boyd, N. S.; Schumann, AR, WA.; Abd-Elrahman, AM, .
Institution
UNIVERSITY OF FLORIDA
Start date
2022
End date
2024
Funding Source
Nat'l. Inst. of Food and Agriculture
Project number
FLA-GCR-006224
Accession number
1028858
Commodities
Produce
https://portal.nifa.usda.gov/web/crisprojectpages/1028858.html