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
Sadygova Madina Karipullovna
Vavilov University, Russian Federation
Srinivasa Rao Mentreddy
Alabama A&M University, United States
Dilip Nandwani
Tennessee State University, United States
Nedyalka Valcheva
Vocational High School, Bulgaria
Fabio Gresta
University of Messina, Italy
Stefania Toscano
University of Messina, ItalySubmit 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 : Markers of PM produced by biomass combustion and development of a sampling and analysis technique
Enrico Paris , CREA-IT , Italy
Title : A conceptual product development approach for functional sehriye (a traditional Turkish small pasta product): Prebiotic, high-protein, high-fibre, and gluten-free alternatives
Yasin Ozdemir, Ataturk Horticultural Central Research Institute, Turkey
Title : Climate change greenhouse gas (CO2) impact – agriculture crop production: Quality improvement
Madhusudan H Fulekar, Research & Development Cell, Parul University, India
Title : Climate change greenhouse gas (CO2) impact – agriculture crop production: Quality improvement
Ashita Rai, Research and Development Cell, Parul University, India