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Judul Agriculture 5.0 : Artificial Intelligence, IoT and Machine Learning / Latief Ahmad and Firasath Nabi
Pengarang Ahmad
Nabi
EDISI Cet. I
Penerbitan London : CRC Press, 2021
Deskripsi Fisik xviii, 224p. :ilus.
ISBN 978-1-003-12543-3
Subjek Teknologi Pertanian
Ahmad
Nabi
Abstrak Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming. It shows how the traditional farming practices are being enhanced and modified by automation and introduction of modern scalable technological solutions that cut down on risks, enhance sustainability, and deliver predictive decisions to the grower, in order to make agriculture more productive. An elaborative approach has been used to highlight the applicability and adoption of key technologies and techniques such WSN, IoT, AI and ML in agronomic activities ranging from collection of information, analysing and drawing meaningful insights from the information which is more accurate, timely and reliable.It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making th
Bahasa Inggris
Bentuk Karya Bukan fiksi atau tidak didefinisikan
Target Pembaca Tidak diketahui / tidak ditentukan

 
No Barcode No. Panggil Akses Lokasi Ketersediaan
00046/102022/H/EB/BBPPBATU 631.3 AHM a Dapat dipinjam Perpustakaan Balai Besar Pelatihan Peternakan Batu - Ruang Baca Umum Tersedia
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520 # # $a Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming. It shows how the traditional farming practices are being enhanced and modified by automation and introduction of modern scalable technological solutions that cut down on risks, enhance sustainability, and deliver predictive decisions to the grower, in order to make agriculture more productive. An elaborative approach has been used to highlight the applicability and adoption of key technologies and techniques such WSN, IoT, AI and ML in agronomic activities ranging from collection of information, analysing and drawing meaningful insights from the information which is more accurate, timely and reliable.It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making the book accessible to a broader interdisciplinary readership. This book clarifies hoe the birth of smart and intelligent agriculture is being nurtured and driven by the deployment of tiny sensors or AI/ML enabled UAV’s or low powered Internet of Things setups for the sensing, monitoring, collection, processing and storing of the information over the cloud platforms. This book is ideal for researchers, academics, post-graduate students and practitioners of agricultural universities, who want to embrace new agricultural technologies for Determination of site-specific crop requirements, future farming strategies related to controlling of chemical sprays, yield, price assessments with the help of AI/ML driven intelligent decision support systems and use of agri-robots for sowing and harvesting. The book will be covering and exploring the applications and some case studies of each technology, that have heavily made impact as grand successes. The main aim of the book is to give the readers immense insights into the impact and scope of WSN, IoT, AI and ML in the growth of intelligent digital farming and Agriculture revolution 5.0.The book also focuses on feasibility of precision farming and the problems faced during adoption of precision farming techniques, its potential in India and various policy measures taken all over the world. The reader can find a description of different decision support tools like crop simulation models, their types, and application in PA.
600 1 4 $a Ahmad
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No Nama File Nama File Format Flash Format File Action
1 1_PDFsam_1. AGRICULTURE 5.0_compressed.pdf 1_PDFsam_1. AGRICULTURE 5.0_compressed pdf Baca Online
2 220_PDFsam_1. AGRICULTURE 5.0_compressed.pdf 220_PDFsam_1. AGRICULTURE 5.0_compressed pdf Baca Online
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