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.
Dachang Zhang
Water & Eco Crisis Foundation, United States
Srinivasa Rao Mentreddy
Alabama A&M University, United States
Usha R Palaniswamy
Maria College, United States
Jason A Hedrick
The Ohio State University, United States
Dilip Nandwani
Tennessee State University, United States
Stephen Jennewein
University of Florida, United States
Alene Alemu Tesfamichael
Edelmark AS, NorwaySubmit your abstract Today
Title : Development of Virginia mountain mint as a potential commercial crop in the southern USA
Srinivasa Rao Mentreddy, Alabama A&M University, United States
Title : Suitaiology: A strategic science for reframing agricultural risks under climate extremes — from water-use efficiency to water-situation wisdom
Dachang Zhang, Water & Eco Crisis Foundation, United States
Title : Agroecological practices and their effects on ecosystem services in sustainable mediterranean cropping systems
Fabio Gresta, University of Messina, Italy
Title : Cultivating green wisdom: Urban horticulture techniques for home vegetable cultivation in small spaces for older adults
Consuelo Lima Navarro de Andrade, State University of Feira de Santana (UEFS), Brazil
Title : Teaching food and nutrition security as a critical concern in higher education capstone
Usha R Palaniswamy, Maria College, United States
Title : Assessment of spraying effectiveness using heavy-duty agricultural UAVs in high-growing crops: Spray deposition and canopy coverage efficiency
Tytus Berbec, Institute of Soil Science and Plant Cultivation - State Research Institute, Poland