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.
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 : Socioeconomic constraints in implementing Integrated Pest Management (IPM) in crops and solutions for sustainability
Shashi Vemuri, Professor Jayashankar Telangana State Agricultural University, India
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 : The use of CHP condensate water in greenhouse cultivation
Lisa Huybrechts, Proefstation voor de Groenteteelt vzw, Belgium
Title : Characterization of isolated strains of microorganisms from mineral, mountain, and spring waters from France, Italy, England, South Korea, Japan, the Netherlands, Austria, Spain, Singapore, Germany, Switzerland, Greece, Turkey, Dubai, and Bulgaria.
Nedyalka Valcheva, Vocational High School, Bulgaria
Title : Markers of PM produced by biomass combustion and development of a sampling and analysis technique
Enrico Paris , CREA-IT , Italy