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
Dilip Nandwani
Tennessee State University, United States
Stephen Jennewein
University of Florida, United States
Fabio Gresta
University of Messina, Italy
Nedyalka Valcheva
Vocational High School, BulgariaSubmit your abstract Today
Title : Climate change greenhouse gas (CO2) impact – agriculture crop production: Quality improvement
Madhusudan H Fulekar, Research & Development Cell, Parul University, India
Title : Teaching food and nutrition security as a critical concern in higher education capstone
Usha R Palaniswamy, Maria College, United States
Title : Current status of precision agriculture in the USA
Kasiviswanathan Muthukumarappan, South Dakota State University, United States
Title : Advances in Indian agriculture and horticulture
V P S Arora, Kumaun University, India
Title : Markers of PM produced by biomass combustion and development of a sampling and analysis technique
Enrico Paris , CREA-IT , Italy
Title : Agroecological practices and their effects on ecosystem services in sustainable mediterranean cropping systems
Fabio Gresta, University of Messina, Italy