Bokus
Gnanasankaran Natarajan, Saravanan Chandran, Subrata Chowdhury, B Surendiran - Sustainable Smart Agriculture 2.0, Inbunden

Inbunden, Engelska, 2026

Sustainable Smart Agriculture 2.0

Volume 2: Transforming Precision Farming with Artificial Intelligence and Machine Learning Models

Av Gnanasankaran Natarajan, Saravanan Chandran, Subrata Chowdhury, B Surendiran

2152 kr

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Beskrivning
This new two-volume book set offers comprehensive information on the latest technological advancements and promising smart farming techniques that offer a significant means of preserving sustainability in both precision and smart farming in the modern farming environment.The volumes demystify contemporary smart farming methods used worldwide to produce a variety of health food crops, preserve the longevity of crops, grow multiple crops more efficiently, and provide a range of resources required for successful smart farming techniques and better decision-making capability. The chapters explore the cutting-edge smart technologies such as artificial intelligence, robotics, drones, machine learning and deep learning algorithms, computer vision, edge computing, the Internet of Things, modern advanced sensors, data science and analytics, sensors, solar-based applications, and classification techniques for increased crop yield while also explaining the distinctions between traditional and modern farming methods.The volumes are:Volume 1: Drones, Robots and Intelligent Computing: Redefining Precision AgricultureVolume 2: Artificial Intelligence and Machine Learning Models: Transforming Precision FarmingServing as a useful resource for in-depth knowledge about preserving agricultural sustainability worldwide with the latest technological advancements, these two volumes will be of benefit and interest to government and private agricultural professionals as well agricultural researchers and faculty and students in agricultural science interested in the field of smart farming and precision agriculture.
Produktinformation
  • Utgivningsdatum: 2026-12-16
  • Mått: 152 x 229 x undefined mm
  • Format: Inbunden
  • Språk: Engelska
  • Antal sidor: 314
  • Förlag: Apple Academic Press Inc.
  • ISBN: 9781779643988
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Mer om författaren

Gnanasankaran Natarajan, MCA, PhD, RUSA PDF, is presently working as an Assistant Professor in the Department of Computer Science, Thiagarajar College, Madurai, India. He has 15 years of teaching and over 14 years of research experience. His areas of research specialization include software engineering, SQA, data science, machine learning, big data, and IoT. He has contributed to more than 35 research articles in Scopus- and Web of Science-indexed journals and conferences from IEEE, Elsevier, Springer, Tech Science Press etc. He has also contributed to one textbook publication and four edited book volumes. He has published 14 book chapters with prominent publishers such as Taylor and Francis, CRC Press, Routledge, etc. He holds eight patent works (two Indian design and one utility patent, three UK design patents, two German utility patents) in the field of cyber security, IoT, drone technology, and healthcare. He has secured major and minor funded projects from the University Grants Commission, India. He is also a review committee member for many Scopus- and SCI-indexed journals. He has organized many seminars, workshops, and faculty development programs at various institutions and is a life member of several societies. Saravanan Chandran, PhD, is currently an Associate Professor in the Department of Computer Science and Engineering at the National Institute of Technology, Durgapur, India. He has over 27 years of teaching experience. His academic career spans more than two decades, specializing in research areas such as digital image processing, computer vision, and biometrics. He had the privilege of engaging in collaborative research at the University of Texas, Arlington, USA, under the TEQIP–I project, resulting in the publication of an IEEE conference paper. He successfully guided two faculty members in completing their PhD degrees under his joint supervision. He is a member of the Information Security Education and Awareness (ISEA) Phase I & II projects as well as TEQIP–I and II projects. His scholarly achievements include securing two patents, publishing three books, contributing to four book chapters, and authoring 118 research articles in international peer-reviewed journals and conferences. He has guided eight research scholars to PhD completion with over 80 students in other higher education pursuits. He has also organised numerous conferences, seminars, and workshops. He serves as a reviewer for leading publishers such as IEEE, Springer, Elsevier, Taylor & Francis, and ACM, and is a board member for several peer-reviewed international journals. Subrata Chowdhury, PhD, working as an Associate Professor at Sri Venkateswara College of Engineering Technology, Chittoor, Andhra Pradesh, India, in the Department ofComputer Science and Engineering. He has completed his BCA at Punjab Technical University, his MCA at VIT Vellore, MTech at JNTUA, and PhD in ML & IoT at Vels University, India. He has published around 20 authored and edited books and more than 100 articles, book chapters, and papers in SCI-indexed journals and national and international conferences. He is associated with many publication houses as a journal editor and book series editor. He is also a member of IEEE, Institution of Engineering and Technology, and International Society for Technology in Education and other governing science bodies and forums. B. Surendiran, PhD, currently working as Associate Professor in the Department of Computer Science and Engineering at NIT Puducherry, Karaikal, India. He has over 15 years of teaching and research experience. He has delivered more than 100 guest lectures and reviewed over 1000 research papers. He has published more than 100 research papers to his credit. He has received a top reviewer award from Publons in the year 2019. He has three funded research projects as principal investigator or co- principal investigator. His areas of interest include machine learning, medical imaging, dimensionality reduction, and recommender systems. He completed his MTech CSE at VIT Vellore and PhD at NIT Trichy, India.

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