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 : Socioeconomic constraints in implementing integrated pest management (IPM) in crops and solutions for sustainability
Shashi Vemuri, Professor Jayashankar Telangana State Agricultural University, India
Title : Food security in the SDG era: Challenges, opportunities, and climate-smart solutions
Shabbar Ali, University of Agriculture Faisalabad, Pakistan
Title : Exploration of the insecticidal properties of Juniperus communis L. essential oil on the grain weevil
Tadjine Nacera, Blida1 University, Algeria
Title : Risk extension: A step to capability for building farmers’ resilience and adaptation to climate changes
Rasha Mohamed El Sayed Shabana, Agricultural Research Center, Egypt
Title : Development of Virginia mountain mint as a potential commercial crop in the southern USA
Srinivasa Rao Mentreddy, Alabama A&M University, United States
Title : Seed-cotton (or kapas) agricultural pollution and environmental health impact assessment
Vijayan Gurumurthy Iyer, Techno-Economic-Environmental Study and Check Consultancy Services, India