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Recent Submissions
Fullerene and carbon nanotubes for vegetable seed priming, germination, and seedling development
(Academic Press, 2026) Megha Barot, Jamal Akhtar Ansari, Pankaj Sharma, Azamal Husen
Soil Organic Matter and Humus Formation
(The Pustakalaya, Lucknow, India, 2026) Anuj Kumar Singh, Khalid Habib
Empowering Agricultural Food Marketing Through Eco-Labeling
(IGI Global, 2026) Mustfa Hussain
The global population is projected to increase more than 9 billion by 2050 that will demand foods in comparatively higher volume. Thus, producers will have to apply more pesticides and chemical in order to have more production. However, this practices have long term negative impact on human and environmental health. Therefore, a sustainable agriculture food system is required. In this context, Eco-labels play important role to make the food stakeholders engage in environmental responsible business practices. The present chapter has explored the potential of Eco-labels in empowering the agricultural food businesses in developing countries. The entire chapter is divided in to four sections viz. 1. Present status and future marketing prospects for Eco-labeling, 2. Stakeholders engagement in promoting Eco-labeling system, 3. Challenges in implementing Eco-labeling for agricultural food products and 4. Initiatives taken by govt. and corporate for Eco-labeling.
Living Divides: Unequal lives in a Digital and Divided World
(Kavya Publications, 2026) Shoaib Hasan, Faizan Haque, Jawed Akhatar
Innovations and Impacts on Agricultural Practices: Improving Weed Management With Artificial Intelligence
(Taylor and Francis, 2026) Aliya Firdaus, Syed Khalida Izhar, Shazia Qamar, Uzma Afaq
Artificial intelligence (AI) plays a pivotal role in advancing environmental stewardship by enabling innovative solutions to address pressing ecological challenges. Through its ability to process vast amounts of data, AI empowers researchers and policymakers to monitor environmental changes, predict future trends, and develop strategies for sustainable resource management. By integrating AI into environmental efforts, societies can transition toward more sustainable practices, ensuring the preservation of natural ecosystems for future generations. Its transformative potential underscores the importance of leveraging AI as a critical tool in fostering global environmental resilience and sustainability.
AI for Environmental Innovation and Stewardship examines this transformative potential by covering fundamental concepts, innovative methodologies, and real-world applications of AI in environmental contexts. It highlights the role of machine learning, data analytics, generative AI, supply chains, augmented reality, and virtual reality in providing new insights and solutions for managing complex ecological systems. It explains how AI is advancing environmental monitoring, enhancing predictive capabilities, optimizing resource usage, and supporting evidence-based decision-making.