Current challenges and future prospects of next-generation microfluidics DOI

Shimali,

Shivangi Chamoli,

Piyush Kumar

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 307 - 315

Published: Jan. 1, 2024

Language: Английский

Next-Gen Strategies in Host Plant Resistance to Insects: Breakthroughs and Future Horizons DOI
Poonam Jasrotia,

Pritam Kumari,

Prem Lal Kashyap

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Youth-Driven Agri-Entrepreneurship in Kerala DOI
Deepa Mohan

Advances 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

0

Enhancing Agricultural Cybersecurity DOI
Hewa Majeed Zangana, Senny Luckyardi,

Firas Mahmood Mustafa

et al.

Advances 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

0

Comparative Evaluation of Modified Wasserstein GAN-GP and State-of-the-Art GAN Models for Synthesizing Agricultural Weed Images in RGB and Infrared Domain DOI Creative Commons
Shubham Rana, Matteo Gatti

MethodsX, Journal Year: 2025, Volume and Issue: unknown, P. 103309 - 103309

Published: April 1, 2025

Language: Английский

Citations

0

Current challenges and future prospects of next-generation microfluidics DOI

Shimali,

Shivangi Chamoli,

Piyush Kumar

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 307 - 315

Published: Jan. 1, 2024

Language: Английский

Citations

3