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Artificial Intelligence in Agriculture

Artificial Intelligence in Agriculture

Artificial Intelligence (AI) is revolutionizing the agricultural landscape, offering innovative solutions to enhance efficiency and productivity. Through advanced data analysis, machine learning, and predictive modeling, AI enables farmers to make data-driven decisions, optimize resource allocation, and mitigate risks. AI-powered technologies, such as precision farming and autonomous machinery, contribute to sustainable agriculture by minimizing resource wastage and improving crop yields. Additionally, AI applications in crop monitoring and disease detection help farmers identify potential issues early on, allowing for timely interventions. This synergy between technology and agriculture not only increases overall productivity but also fosters environmental sustainability. As AI continues to evolve, its integration into agriculture holds great promise for addressing global food challenges and creating a more resilient and efficient farming ecosystem.

Committee Members
Speaker at Agriculture and Horticulture 2026 - Dachang Zhang

Dachang Zhang

National Research Center for Geoanalysis and Water & Eco Crisis Foundation, United States
Speaker at Agriculture and Horticulture 2026 - Srinivasa Rao Mentreddy

Srinivasa Rao Mentreddy

Alabama A&M University, United States
Speaker at Agriculture and Horticulture 2026 - Alexandra D Solomou

Alexandra D Solomou

Hellenic Agricultural Organization – Dimitra, Institute of Mediterranean Forest Ecosystems (IMFE), Greece
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