Cover image for The digital agricultural revolution : innovations and challenges in agriculture through technology disruptions
Title:
The digital agricultural revolution : innovations and challenges in agriculture through technology disruptions
Author:
Bhatnagar, Roheet, editor.
ISBN:
9781119823469

9781119823452
Physical Description:
1 online resource
Contents:
Front Matter -- Scope and Recent Trends of Artificial Intelligence in Indian Agriculture / X Anitha Mary, Vladimir Popov, Kumudha Raimond, I Johnson, SJ Vijay -- Comparative Evaluation of Neural Networks in Crop Yield Prediction of Paddy and Sugarcane Crop / K Krupavath, M Raghu Babu, A Mani -- Smart Irrigation Systems Using Machine Learning and Control Theory / Meriç Çetin, Selami Beyhan -- Enabling Technologies for Future Robotic Agriculture Systems: A Case Study in Indian Scenario / X Anitha Mary, Kannan Mani, Kumudha Raimond, I Johnson, P Dinesh Kumar -- The Applications of Industry 4.0 (I4.0) Technologies in the Palm Oil Industry in Colombia (Latin America) / James Peréz-Morón, Ana Susana Cantillo-Orozco -- Intelligent Multiagent System for Agricultural Management Processes (Case Study: Greenhouse) / Djamel Saba, Youcef Sahli, Abdelkader Hadidi -- Smart Irrigation System for Smart Agricultural Using IoT: Concepts, Architecture, and Applications / Abdelkader Hadidi, Djamel Saba, Youcef Sahli -- The Internet of Things (IoT) for Sustainable Agriculture / MS Sadiq, IP Singh, MM Ahmad, N Karunakaran -- Advances in Bionic Approaches for Agriculture and Forestry Development / Vipin Parkash, Anuj Chauhan, Akshita Gaur, Nishant Rai -- Simulation of Water Management Processes of Distributed Irrigation Systems / Aysulu Aydarova -- Conceptual Principles of Reengineering of Agricultural Resources: Open Problems, Challenges and Future Trends / Zamlynskyi Viktor, Livinskyi Anatolii, Zamlynska Olha, Minakova Svetlana -- Role of Agritech Start-Ups in Supply Chain-An Organizational Approach of Ninjacart / D Rafi, Md Mubeena -- Institutional Model of Integrating Agricultural Production Technologies with Accounting and Information Systems / Nataliya Kantsedal, Oksana Ponomarenko -- Relevance of Artificial Intelligence in Wastewater Management / Poornima Ramesh, Kathirvel Suganya, T Uma Maheswari, S Paul Sebastian, K Sara Parwin Banu -- Risks of Agrobusiness Digital Transformation / Inna Riepina, Anastasiia Koval, Olexandr Starikov, Volodymyr Tokar -- Water Resource Management in Distributed Irrigation Systems / P Varlamova Lyudmila, S Yakubov Maqsadhon, E Elmurodova Barno -- Digital Transformation via Blockchain in the Agricultural Commodity Value Chain / Necla İ Küçükçolak, Ali Sabri Taylan -- Role of Start-Ups in Altering Agrimarket Channel (Input-Output) / D Rafi, Md Mubeena -- Development of Blockchain Agriculture Supply Chain Framework Using Social Network Theory: An Empirical Evidence Based on Malaysian Agriculture Firms / Muhammad Shabir Shaharudin, Yudi Fernando, Yuvaraj Ganesan, Faizah Shahudin -- Potential Options and Applications of Machine Learning in Soil Science / Anandkumar Naorem, Shiva Kumar Udayana, Somasundaram Jayaraman -- Index
Abstract:
THE DIGITAL AGRICULTURAL REVOLUTION The book integrates computational intelligence, applied artificial intelligence, and modern agricultural practices and will appeal to scientists, agriculturists, and those in plant and crop science management. There is a need for synergy between the application of modern scientific innovation in the area of artificial intelligence and agriculture, considering the major challenges from climate change consequences viz. rising temperatures, erratic rainfall patterns, the emergence of new crop pests, drought, flood, etc. This volume reports on high-quality research (theory and practice including prototype & conceptualization of ideas, frameworks, real-world applications, policy, standards, psychological concerns, case studies, and critical surveys) on recent advances toward the realization of the digital agriculture revolution as a result of the convergence of different disruptive technologies. The book touches upon the following topics which have contributed to revolutionizing agricultural practices. * Applications of Artificial Intelligence in Agriculture (AI models and architectures, system design, real-world applications of AI, machine learning and deep learning in the agriculture domain, integration & coordination of systems and issues & challenges). * IoT and Big Data Analytics Applications in Agriculture (theory & architecture and the use of various types of sensors in optimizing agriculture resources and final product, benefits in real-time for crop acreage estimation, monitoring & control of agricultural produce). * Robotics & Automation in Agriculture Systems (Automation challenges, need and recent developments and real case studies). * Intelligent and Innovative Smart Agriculture Applications (use of hybrid intelligence in better crop health and management). * Privacy, Security, and Trust in Digital Agriculture (government framework & policy papers). * Open Problems, Challenges, and Future Trends. Audience Researchers in computer science, artificial intelligence, electronics engineering, agriculture automation, crop management, and science.
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John Wiley and Sons
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E-Book 597521-1001 S494.5 .I5 D54 2022
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