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 : Climate change greenhouse gas (CO2) impact – agriculture crop production: Quality improvement
Madhusudan H Fulekar, Research & Development Cell, Parul University, India
Title : Teaching food and nutrition security as a critical concern in higher education capstone
Usha R Palaniswamy, Maria College, United States
Title : Current status of precision agriculture in the USA
Kasiviswanathan Muthukumarappan, South Dakota State University, United States
Title : Advances in Indian agriculture and horticulture
V P S Arora, Kumaun University, India
Title : Markers of PM produced by biomass combustion and development of a sampling and analysis technique
Enrico Paris , CREA-IT , Italy
Title : Agroecological practices and their effects on ecosystem services in sustainable mediterranean cropping systems
Fabio Gresta, University of Messina, Italy