Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 307 - 315
Published: Jan. 1, 2024
Language: Английский
Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 307 - 315
Published: Jan. 1, 2024
Language: Английский
Published: Jan. 1, 2025
Language: Английский
Citations
0Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 329 - 354
Published: April 4, 2025
Strategic initiatives for the future must develop AI-powered agricultural systems while establishing bright agriculture innovation centers. A sustainable policy framework from state will maintain digital farming technology investments so Kerala becomes an agri-tech leadership pioneer. The region needs climate-resilient methods with eco-friendly practices to achieve successful environmental challenge mitigation in food sustainability. When sector of adopts predictive uniting technological advancement policies and young farmers' involvement, it become a competitive, resilient industry. transformation into intelligent, leader occur by providing producers essential tools, financial backing, educational resources as integrated system that allows them establish their role production at competitive rates.
Language: Английский
Citations
0Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 307 - 338
Published: April 8, 2025
The rapid digital transformation of agriculture through smart farming technologies has introduced new cybersecurity challenges that threaten the integrity, confidentiality, and availability critical agricultural data systems. As precision agriculture, Internet Things (IoT)-enabled sensors, automated decision-making become integral to modern farming, risks associated with cyber threats—such as breaches, ransomware attacks, supply chain vulnerabilities—continue escalate. Unlike traditional security measures, AI-driven solutions, including deep learning Large Language Models (LLMs), offer real-time threat detection, adaptive defense mechanisms, enhanced risk assessment capabilities. This chapter explores application these in securing networks, from intrusion detection incident response. It also presents case studies solutions implemented environments.
Language: Английский
Citations
0MethodsX, Journal Year: 2025, Volume and Issue: unknown, P. 103309 - 103309
Published: April 1, 2025
Language: Английский
Citations
0Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 307 - 315
Published: Jan. 1, 2024
Language: Английский
Citations
3