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.
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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 : Autonomous climate resilient farming: How AIIoT and renewable energy integration enable net zero aquaponics at scale
Kelly Ochuko EGODE, Omfeonix Agritech Ltd, United Kingdom
Title : The use of spectral measurements in experiments and agricultural production
Tytus Berbec, Institute of Soil Science and Plant Cultivation - State Research Institute, Poland
Title : Insect natural enemies of the fall armyworm Spodoptera frugiperda in Côte d Ivoire
Koffi Eric Kwadjo, University Nangui Abrogoua, Cote d'Ivoire
Title : The role of artificial intelligence in sustainable agriculture
Fatma Abdel Motaleb Mostafa, Plant Pathology Research Institute, Agriculture Research Center, Egypt