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.
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, Bihar Institute of Public Administration & Rural Development (BIPARD), India
Title : The essential role of photosynthesis in defining net zero carbon dioxide 2 emissions for equilibrium calculations
Dave White, Climate Change Truth Inc. cctruth.org, United States
Title : Future Indian hortibusiness
V P S Arora, Venkateshwara Group of Institutions, India
Title : A new direction in the use of wheat in agricultural processing
Elzbieta Patkowska , Institute of Agricultural and Food Biotechnology - State Research Institute, Poland