國立高雄大學圖資館 |

Language: English

Back

Artificial intelligence and smart agriculturetechnology and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence and smart agricultureedited by Kusum Pandey ... [et al.].
Reminder of title:	technology and applications /
other author:	Pandey, Kusum.
Published:	Singapore :Springer Nature Singapore :2024.
Description:	vii, 567 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligenceAgricultural applications.
Online resource:	https://doi.org/10.1007/978-981-97-0341-8
ISBN:	9789819703418$q(electronic bk.)

Artificial intelligence and smart agriculturetechnology and applications /
Artificial intelligence and smart agriculturetechnology and applications /[electronic resource] :edited by Kusum Pandey ... [et al.]. - Singapore :Springer Nature Singapore :2024. - vii, 567 p. :ill. (some col.), digital ;24 cm. - Advances in geographical and environmental sciences,2198-3550. - Advances in geographical and environmental sciences..

Artificial Intelligence and Smart Farming: An Overview -- Remote Sensing in Precision Agriculture: Current Status and Applications -- Revolutionizing Agriculture: Geospatial Technologies and Precision Farming in India -- Assessment of Water Use Efficiency for Sustainable Water Management by Integration of Remote Sensing and Machine Learning -- Pathways for Intensified Agriculture Through Sustainable Water Management: Need of an Hour -- Crop yield prediction using artificial intelligence and remote sensing methods -- Role of Artificial Intelligence in Revolutionizing Agricultural Technology -- Weather Intelligence for Climate-resilient Agriculture -- Big Data Analytics for Improved Weather Forecasting and Disaster Management -- Crop Monitoring System Integrating with Internet of Things and Artificial Intelligence -- Soil moisture and temperature management using IoT for sustainable farming -- Internet of Things (IoTs) Enabled Irrigation Management System for Precision Agriculture -- Unmanned Aerial Vehicles (UAV) for Smart Agriculture -- IoT-Enabled Unmanned Aerial Vehicle: An Emerging Trend in Precision Farming -- Smart irrigation management through Unmanned Aerial Vehicles (UAV) -- Biotic stress management in field crops using artificial intelligence technologies -- Soilless cultivation: A distinct vision for sustainable agriculture -- Fertigation management in substrate soilless culture -- Integration of AI and IoT in Soilless Cultivation to power sustainable agricultural revolution -- Plant disease detection, diagnosis and management: Recent advances and future perspectives -- Disease and pest control through advance technology -- A Critical Analysis of Convolutional Neural Networks for Leaf Disease Detection in Plants -- Robotic seeding or sowing system in smart agriculture -- Revolutionizing Crop Yield Prediction: The Synergy of Remote Sensing and Artificial Intelligence Technologies -- Harvesting the Future: Navigating the Challenges and Limitations of AI in Agriculture.

As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of "smart" farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is required to understand these technological developments. This book explores the applications of various artificial intelligence techniques by identifying and describing technical, functional, and non-functional future technologies for smart farming and agriculture. The book also presents practical application opportunities for the resolution of real-world problems, including contributions from precision irrigation, greenhouse data, livestock monitoring, automation, IoT ecosystems for agriculture, cloud computing, mobile robots for precision agriculture, remote sensing applications, and data mining. In addition, this book provides summary information about different soilless techniques such as hydroponics, aeroponics, and aquaponics, among others. This book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.

ISBN: 9789819703418$q(electronic bk.)

Standard No.: 10.1007/978-981-97-0341-8doiSubjects--Topical Terms:

803531
Artificial intelligence
--Agricultural applications.

LC Class. No.: S494.5.D3

Dewey Class. No.: 630.028563

Artificial intelligence and smart agriculturetechnology and applications /
LDR:04596nmm a2200337 a 4500 001 664640
003 DE-He213
005 20240329115731.0
006 m d
007 cr nn 008maaau
008 241219s2024 si s 0 eng d
020 $a 9789819703418$q(electronic bk.)
020 $a 9789819703401$q(paper)
024 7 $a 10.1007/978-981-97-0341-8 $2 doi
035 $a 978-981-97-0341-8
040 $a GP $c GP
041 0 $a eng
050 4 $a S494.5.D3
072 7 $a RGB $2 bicssc
072 7 $a SCI030000 $2 bisacsh
072 7 $a RGB $2 thema
082 0 4 $a 630.028563 $2 23
090 $a S494.5.D3 $b A791 2024
245 0 0 $a Artificial intelligence and smart agriculture $h [electronic resource] : $b technology and applications / $c edited by Kusum Pandey ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a vii, 567 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Advances in geographical and environmental sciences, $x 2198-3550
505 0 $a Artificial Intelligence and Smart Farming: An Overview -- Remote Sensing in Precision Agriculture: Current Status and Applications -- Revolutionizing Agriculture: Geospatial Technologies and Precision Farming in India -- Assessment of Water Use Efficiency for Sustainable Water Management by Integration of Remote Sensing and Machine Learning -- Pathways for Intensified Agriculture Through Sustainable Water Management: Need of an Hour -- Crop yield prediction using artificial intelligence and remote sensing methods -- Role of Artificial Intelligence in Revolutionizing Agricultural Technology -- Weather Intelligence for Climate-resilient Agriculture -- Big Data Analytics for Improved Weather Forecasting and Disaster Management -- Crop Monitoring System Integrating with Internet of Things and Artificial Intelligence -- Soil moisture and temperature management using IoT for sustainable farming -- Internet of Things (IoTs) Enabled Irrigation Management System for Precision Agriculture -- Unmanned Aerial Vehicles (UAV) for Smart Agriculture -- IoT-Enabled Unmanned Aerial Vehicle: An Emerging Trend in Precision Farming -- Smart irrigation management through Unmanned Aerial Vehicles (UAV) -- Biotic stress management in field crops using artificial intelligence technologies -- Soilless cultivation: A distinct vision for sustainable agriculture -- Fertigation management in substrate soilless culture -- Integration of AI and IoT in Soilless Cultivation to power sustainable agricultural revolution -- Plant disease detection, diagnosis and management: Recent advances and future perspectives -- Disease and pest control through advance technology -- A Critical Analysis of Convolutional Neural Networks for Leaf Disease Detection in Plants -- Robotic seeding or sowing system in smart agriculture -- Revolutionizing Crop Yield Prediction: The Synergy of Remote Sensing and Artificial Intelligence Technologies -- Harvesting the Future: Navigating the Challenges and Limitations of AI in Agriculture.
520 $a As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of "smart" farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is required to understand these technological developments. This book explores the applications of various artificial intelligence techniques by identifying and describing technical, functional, and non-functional future technologies for smart farming and agriculture. The book also presents practical application opportunities for the resolution of real-world problems, including contributions from precision irrigation, greenhouse data, livestock monitoring, automation, IoT ecosystems for agriculture, cloud computing, mobile robots for precision agriculture, remote sensing applications, and data mining. In addition, this book provides summary information about different soilless techniques such as hydroponics, aeroponics, and aquaponics, among others. This book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.
650 0 $a Artificial intelligence $x Agricultural applications. $3 803531
650 1 4 $a Physical Geography. $3 212466
650 2 4 $a Agriculture. $3 274257
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Internet of Things. $3 913131
700 1 $a Pandey, Kusum. $3 977323
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Advances in geographical and environmental sciences. $3 681428
856 4 0 $u https://doi.org/10.1007/978-981-97-0341-8
950 $a Earth and Environmental Science (SpringerNature-11646)