Kuldeep Singh & Prasanna Kolar 
Digital Agricultural Ecosystem [PDF ebook] 
Revolutionary Advancements in Agriculture

Destek

Digital Agricultural Ecosystem
The book comprehensively explores the dynamic synergy between modern technology and agriculture, showcasing how advancements such as artificial intelligence, data analytics, and smart farming practices are reshaping the landscape to ensure food security in the era of climate change, as well as bridging the gap between cutting-edge research and practical implementation.
Agriculture has historically been the foundation of human civilization and benefits communities all around the world. Agriculture has a creative, adaptable, and innovative history, and as the digital age draws closer, agriculture is once again poised for change. Each of the 20 chapters explores the connection between agricultural and technological advancements, and are divided into four key areas.
Part 1 covers knowledge sharing in the digital agricultural ecosystem. In the context of modern agriculture, the chapters underscore the importance of information flow. Through comprehensive reviews of literature and assessments of farmer participation on social media platforms, these chapters illustrate the value of information sharing for sustainable agriculture.
Part 2 explores the adoption and impact of digital technologies in agriculture. The use of cutting-edge digital technologies in agriculture is examined thoroughly in this section. The chapters included here outline how precision, artificial intelligence, and blockchain technology have the potential to transform methods of agriculture and improve food systems.
Part 3 addresses smart farming and sustainable agriculture. This section focuses on sustainability and offers details on eco-friendly production methods, the significance of smart farming in many nations, including India and the UK, and cost-effective fertilizer sprayer technologies.
Part 4 examines the modeling and analysis of agricultural systems. This last section explores how mathematical modeling and data analytics are used in agricultural systems, with insights on everything from the study of credit access constraints in rural regions to water resource management in irrigation systems.
Audience
The diverse readership includes farmers, agronomists, agricultural researchers, policymakers, environmentalists, information technologists, and students from academic and professional fields who are eager to learn more about how digital innovation and sustainable agriculture can be used to address global issues such as climate change, food security, and smart farming.

€194.99
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Yazar hakkında

Kuldeep Singh, Ph D, is a professor of finance in the Faculty of Management Studies at CMS Business School, JAIN (deemed to be a university), Bangalore, India. Singh holds a doctoral degree in finance from the Indian Institute of Information Technology in India. His fields of interest include inferential statistics, mediation-moderation analysis, and structural equation modeling. He has published numerous research papers in conference journals related to sustainable agriculture, finance, corporate social responsibility, and entrepreneurship. He was honored with the ‘Best Paper Award’ in 2020 at the 6th Management Doctoral Colloquium, IIT Kharagpur.
Prasanna Kolar, Ph D, is an assistant professor in the College of Agriculture, KL University, Vijayawada, India. He holds a Ph D in agricultural economics from Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, India. His research focus includes finance, marketing, micro and macroeconomics, data analysis, amongst several other interests. He has published many research papers in international journals and plays a vital role in advancing the collective understanding and fostering the development of the agricultural economics and sustainability fields.

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Dil İngilizce ● Biçim PDF ● Sayfalar 416 ● ISBN 9781394242955 ● Dosya boyutu 85.1 MB ● Editör Kuldeep Singh & Prasanna Kolar ● Yayımcı John Wiley & Sons ● Yayınlanan 2024 ● Baskı 1 ● İndirilebilir 24 aylar ● Döviz EUR ● Kimlik 9394787 ● Kopya koruma Adobe DRM
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