Weather-Based Yield Prediction
Accurate weather-based yield prediction is essential for modern agriculture. Using advanced technologies like remote sensing, AI, and big data analytics, farmers can forecast crop performance based on climatic variables such as temperature, rainfall, and humidity. These predictions help in planning irrigation, pest control, and harvest schedules, reducing losses and maximizing output. Weather-based models integrate historical data and real-time monitoring to provide localized insights. For instance, drought-prone areas can adjust planting dates or switch to resilient crop varieties based on predictions. Governments and agribusinesses are investing in these tools to support food security and climate adaptation. Such innovations ensure informed decision-making, empowering farmers to tackle uncertainties effectively.
Edgar Omar Rueda Puente
Universidad de Sonora, Mexico
V P S Arora
Venkateshwara Group of Institutions, India
Vijayan Gurumurthy Iyer
Bihar Institute of Public Administration & Rural Development (BIPARD), IndiaSubmit your abstract Today
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Linas Balciauskas, Nature Research Centre, Lithuania
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Dachang Zhang, National Research Center for Geoanalysis and Water & Eco Crisis Foundation, United States
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Vijayan Gurumurthy Iyer, Bihar Institute of Public Administration & Rural Development (BIPARD), India
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Dave White, Climate Change Truth Inc. cctruth.org, United States
Title : Future Indian hortibusiness
V P S Arora, Venkateshwara Group of Institutions, India
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Elzbieta Patkowska , Institute of Agricultural and Food Biotechnology - State Research Institute, Poland