東華大學圖書館 |

Intelligent robots and drones for precision agriculture

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent robots and drones for precision agriculture/ edited by Sundaravadivazhagan Balasubramanian, Gnanasankaran Natarajan, Pethuru Raj Chelliah.
other author:	Balasubramanian, Sundaravadivazhagan.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	viii, 479 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Intelligent computing with drones and robotics for Precision Agriculture -- Smart Farming and Precision Agriculture and Its Need in Today's World -- Role of Machine Learning in Smart Farming and Its Applications -- Types of Soil Classification for the Identification of the Right Crop to be Cultivated -- Convergence of IoT, Big Data and Machine Learning for better yield Prediction in Smart Farming -- Soil Classification and Crop Prediction using Machine Learning Techniques -- Artificial Intelligence (AI) - enabled Drone Technology for Smart Farming -- Connected Drones for Smart Farming: The Use Cases and Challenges -- Drones and Robots in Smart Agriculture -- IoT-based Precision Agriculture and Crop Management using Machine Learning Approaches -- Smart Organic Agriculture in Traditional South Indian Based Farming System -- Crop and Fertilizer Recommendation System for Sustainable Agricultural Development -- The Role of Robotics and Drones in Precision Farming using Artificial Intelligence with an Automatic Learning Approach -- Applications of UAV-AD (Unmanned Aerial Vehicle-Agricultural Drones) in Precision Farming -- Machine Learning (ML) Algorithms on IoT and Drone Data for Smart Farming -- Recent improvements and major challenges in Digitized farming: A review -- A Comprehensive Review on the Internet of Things, 5G network, Drone Technologies for Smart Agriculture -- Internet of Things based Smart Agriculture Advisory System -- Conclusion.
Contained By:	Springer Nature eBook
Subject:	Agricultural innovations. -
Online resource:	https://doi.org/10.1007/978-3-031-51195-0
ISBN:	9783031511950

Intelligent robots and drones for precision agriculture
Intelligent robots and drones for precision agriculture[electronic resource] /edited by Sundaravadivazhagan Balasubramanian, Gnanasankaran Natarajan, Pethuru Raj Chelliah. - Cham :Springer Nature Switzerland :2024. - viii, 479 p. :ill., digital ;24 cm. - Signals and communication technology,1860-4870. - Signals and communication technology..

Introduction -- Intelligent computing with drones and robotics for Precision Agriculture -- Smart Farming and Precision Agriculture and Its Need in Today's World -- Role of Machine Learning in Smart Farming and Its Applications -- Types of Soil Classification for the Identification of the Right Crop to be Cultivated -- Convergence of IoT, Big Data and Machine Learning for better yield Prediction in Smart Farming -- Soil Classification and Crop Prediction using Machine Learning Techniques -- Artificial Intelligence (AI) - enabled Drone Technology for Smart Farming -- Connected Drones for Smart Farming: The Use Cases and Challenges -- Drones and Robots in Smart Agriculture -- IoT-based Precision Agriculture and Crop Management using Machine Learning Approaches -- Smart Organic Agriculture in Traditional South Indian Based Farming System -- Crop and Fertilizer Recommendation System for Sustainable Agricultural Development -- The Role of Robotics and Drones in Precision Farming using Artificial Intelligence with an Automatic Learning Approach -- Applications of UAV-AD (Unmanned Aerial Vehicle-Agricultural Drones) in Precision Farming -- Machine Learning (ML) Algorithms on IoT and Drone Data for Smart Farming -- Recent improvements and major challenges in Digitized farming: A review -- A Comprehensive Review on the Internet of Things, 5G network, Drone Technologies for Smart Agriculture -- Internet of Things based Smart Agriculture Advisory System -- Conclusion.

This book provides extensive information about smart farming, precision agriculture and the technologies that make them succeed. The authors provide detailed machine learning and deep learning models and algorithms that can be implemented effectively to improve smart farming methods. The authors also give elaborate information about the various IoT devices and types of drones that are used vastly in smart farming culture. The authors show specifically how methods and techniques used to improve the crop yield can be executed to help the farmers to improve the agricultural process and cultivation methods using a rule-based methodology. The purpose of this book is to articulate the need for processes, platforms, practices, patterns, and rules to be followed for the better yield of crop production and how IoT, robotics and drones can be used to improve the economy of the countries in the field of agriculture. In a nutshell, the book shows how the combination of multiple cutting-edge technologies leads to the realization of state-of-the-art infrastructures for next-generation agriculture. Provides insight on collecting and analyzing data using machine learning and deep learning methods for smart farming; Includes detail on how to use AI, IoT, drone technology and robotics effectively in smart farming; Details irrigation methods, soil classification, and prominent cultivation tools that can be improved using technology.

ISBN: 9783031511950

Standard No.: 10.1007/978-3-031-51195-0doiSubjects--Topical Terms:

570532
Agricultural innovations.

LC Class. No.: S494.5.I5 / I58 2024

Dewey Class. No.: 338.16

Intelligent robots and drones for precision agriculture
LDR:04057nmm a22003375a 4500 001 2370403
003 DE-He213
005 20240321211201.0
006 m d
007 cr nn 008maaau
008 241127s2024 sz s 0 eng d
020 $a 9783031511950 $q (electronic bk.)
020 $a 9783031511943 $q (paper)
024 7 $a 10.1007/978-3-031-51195-0 $2 doi
035 $a 978-3-031-51195-0
040 $a GP $c GP
041 0 $a eng
050 4 $a S494.5.I5 $b I58 2024
072 7 $a TJFM $2 bicssc
072 7 $a TEC007000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 338.16 $2 23
090 $a S494.5.I5 $b I61 2024
245 0 0 $a Intelligent robots and drones for precision agriculture $h [electronic resource] / $c edited by Sundaravadivazhagan Balasubramanian, Gnanasankaran Natarajan, Pethuru Raj Chelliah.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a viii, 479 p. : $b ill., digital ; $c 24 cm.
490 1 $a Signals and communication technology, $x 1860-4870
505 0 $a Introduction -- Intelligent computing with drones and robotics for Precision Agriculture -- Smart Farming and Precision Agriculture and Its Need in Today's World -- Role of Machine Learning in Smart Farming and Its Applications -- Types of Soil Classification for the Identification of the Right Crop to be Cultivated -- Convergence of IoT, Big Data and Machine Learning for better yield Prediction in Smart Farming -- Soil Classification and Crop Prediction using Machine Learning Techniques -- Artificial Intelligence (AI) - enabled Drone Technology for Smart Farming -- Connected Drones for Smart Farming: The Use Cases and Challenges -- Drones and Robots in Smart Agriculture -- IoT-based Precision Agriculture and Crop Management using Machine Learning Approaches -- Smart Organic Agriculture in Traditional South Indian Based Farming System -- Crop and Fertilizer Recommendation System for Sustainable Agricultural Development -- The Role of Robotics and Drones in Precision Farming using Artificial Intelligence with an Automatic Learning Approach -- Applications of UAV-AD (Unmanned Aerial Vehicle-Agricultural Drones) in Precision Farming -- Machine Learning (ML) Algorithms on IoT and Drone Data for Smart Farming -- Recent improvements and major challenges in Digitized farming: A review -- A Comprehensive Review on the Internet of Things, 5G network, Drone Technologies for Smart Agriculture -- Internet of Things based Smart Agriculture Advisory System -- Conclusion.
520 $a This book provides extensive information about smart farming, precision agriculture and the technologies that make them succeed. The authors provide detailed machine learning and deep learning models and algorithms that can be implemented effectively to improve smart farming methods. The authors also give elaborate information about the various IoT devices and types of drones that are used vastly in smart farming culture. The authors show specifically how methods and techniques used to improve the crop yield can be executed to help the farmers to improve the agricultural process and cultivation methods using a rule-based methodology. The purpose of this book is to articulate the need for processes, platforms, practices, patterns, and rules to be followed for the better yield of crop production and how IoT, robotics and drones can be used to improve the economy of the countries in the field of agriculture. In a nutshell, the book shows how the combination of multiple cutting-edge technologies leads to the realization of state-of-the-art infrastructures for next-generation agriculture. Provides insight on collecting and analyzing data using machine learning and deep learning methods for smart farming; Includes detail on how to use AI, IoT, drone technology and robotics effectively in smart farming; Details irrigation methods, soil classification, and prominent cultivation tools that can be improved using technology.
650 0 $a Agricultural innovations. $3 570532
650 0 $a Artificial intelligence $x Agricultural applications. $3 3299845
650 0 $a Machine learning. $3 533906
650 0 $a Drone aircraft. $3 805030
650 1 4 $a Control, Robotics, Automation. $3 3592500
650 2 4 $a Agriculture. $3 518588
650 2 4 $a Communications Engineering, Networks. $3 891094
700 1 $a Balasubramanian, Sundaravadivazhagan. $3 3715727
700 1 $a Natarajan, Gnanasankaran. $3 3715728
700 1 $a Raj, Pethuru. $3 2162375
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Signals and communication technology. $3 1565543
856 4 0 $u https://doi.org/10.1007/978-3-031-51195-0
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)