INTEGRATING ARTIFICIAL INTELLIGENCE & COMPUTER LEARNING INTO THE SOLARID MONITORING DEVICE TO CREATE A COMPREHENSIVE DECISION-MAKING SUPPORT SYSTEM

• Sponsoring Institution: Agricultural Research Service/USDA
• Project Status: ACTIVE
• Funding Source: USDA INHOUSE
• Reporting Frequency: Annual
• Accession No.: 0443416
• Project Start Date: Oct 1, 2022
• Project End Date: Aug 31, 2025
• Program Code: [(N/A)]- (N/A)

Recipient Organization
AGRICULTURAL RESEARCH SERVICE
(N/A)
PARLIER,CA 93648

Performing Department
(N/A)

Non Technical Summary
(N/A)

Animal Health Component

40%

Research Effort Categories

Basic

30%

Applied

40%

Developmental

30%

Classification

Knowledge Area (KA)	Subject of Investigation (SOI)	Field of Science (FOS)	Percent
216	1219	1130	100%

Knowledge Area
216 - Integrated Pest Management Systems;

Subject Of Investigation
1219 - Edible tree nuts, general/other;

Field Of Science
1130 - Entomology and acarology;

Keywords

almond

pistachio

navel

orangeworm

monitoring

Goals / Objectives
1) Provide a practical demonstration, using navel orangeworm (NOW) in tree nut crops, of a novel insect monitoring tool with the capacity for remote automated detection of flying pest insects using ultraviolet light and/or semiochemical lures (UV monitoring device). 2) Demonstrate the ability of the artificial intelligence and Internet of Things (IoT) features associated with this device to distinguish male and female NOW in real time.

Project Methods
Capture of NOW in a prototype device will be compared, over a 15 weeks, to capture in 6 conventional pheromone and 10 conventional ovipositional bait traps located at appropriate separation intervals on either side of the UV monitoring device. Three-week periods within the experiment will be used as intervals in time to compare the response of the trap types at different points in tree nut phenology.