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.
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Dave White, Climate Change Truth Inc, United States
Title : Micromammal diversity and health in agricultural landscapes: A focus on body condition
Linas Balciauskas, Nature Research Centre, Lithuania
Title : Suitaiology: Technical goals and general concept designing for applications in mountain areas
Dachang Zhang, National Research Center for Geoanalysis and Water & Eco Crisis Foundation, United States
Title : Environmental Health Impact Assessment (EHIA) process for agricultural and horticultural processes - Case study as ginning of Indian seed-cotton (or kapas)
Vijayan Gurumurthy Iyer, Techno-Economic-Environmental Study and Check Consultancy Services, India
Title : Sustainable food supply for a global population
Hector R R Laurence, Mclaren Holdings SA, Argentina
Title : Farm safety day camp programming for youth
Jason A Hedrick, The Ohio State University, United States