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Predictive Pest Monitoring

Predictive Pest Monitoring

Predictive pest monitoring is an advanced approach to managing agricultural pests by forecasting their outbreaks before they cause significant damage. By utilizing tools such as weather data, satellite imagery, and pest detection technologies, farmers can anticipate pest movements and populations. Predictive models use this data to inform decision-making, enabling farmers to take preventative actions like adjusting planting schedules, using targeted pest control measures, or deploying biological control agents. This proactive strategy helps minimize crop damage, reduce pesticide use, and lower production costs, while also contributing to sustainable agricultural practices. Predictive pest monitoring enhances the resilience of crops, ensuring higher yields and more efficient pest management.

Committee Members
Speaker at Agriculture and Horticulture 2025 - Edgar Omar Rueda Puente

Edgar Omar Rueda Puente

Universidad de Sonora, Mexico
Speaker at Agriculture and Horticulture 2025 - V P S Arora

V P S Arora

Venkateshwara Group of Institutions, India
Speaker at Agriculture and Horticulture 2025 - Vijayan Gurumurthy Iyer

Vijayan Gurumurthy Iyer

Techno-Economic-Environmental Study and Check Consultancy Services, India
Agri 2025 Speakers
Speaker at Agriculture and Horticulture 2025 - Omar Sulaiman Belhaj

Omar Sulaiman Belhaj

The University of Texas at El Paso, United States
Speaker at Agriculture and Horticulture 2025 - Roselyne Aleyo

Roselyne Aleyo

Massey University and Agresearch Grasslands Campus, New Zealand
Speaker at Agriculture and Horticulture 2025 - Jenny Lindblom

Jenny Lindblom

Lulea University of Technology, Sweden
Speaker at Agriculture and Horticulture 2025 - Caroline Van Der Weerdt

Caroline Van Der Weerdt

TNO, Netherlands
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