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Titlebook: Intelligent Robots and Drones for Precision Agriculture; Sundaravadivazhagan Balasubramanian,Gnanasankaran Book 2024 The Editor(s) (if ap

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发表于 2025-3-21 17:08:54 | 显示全部楼层 |阅读模式
书目名称Intelligent Robots and Drones for Precision Agriculture
编辑Sundaravadivazhagan Balasubramanian,Gnanasankaran
视频video
概述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
丛书名称Signals and Communication Technology
图书封面Titlebook: Intelligent Robots and Drones for Precision Agriculture;  Sundaravadivazhagan Balasubramanian,Gnanasankaran  Book 2024 The Editor(s) (if ap
描述.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..
出版日期Book 2024
关键词Smart Farming; Precision Agriculture; Artificial Intelligence; Internet of Things; Drone technology; Robo
版次1
doihttps://doi.org/10.1007/978-3-031-51195-0
isbn_softcover978-3-031-51197-4
isbn_ebook978-3-031-51195-0Series ISSN 1860-4862 Series E-ISSN 1860-4870
issn_series 1860-4862
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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发表于 2025-3-21 22:14:40 | 显示全部楼层
,Smart Farming and Precision Agriculture and Its Need in Today’s World,g practices. This chapter dissects the fundamental principles underlying these concepts and explores their synergistic impacts on modern farming. Smart farming is an approach that involves the latest technologies such as machine learning, Internet of Things, big data, cloud computing, etc. in the fi
发表于 2025-3-22 00:52:10 | 显示全部楼层
Transforming Agriculture with Smart Farming: A Comprehensive Review of Agriculture Robots for Resea reduction. However, in recent times, the migration of youth and individuals in search of alternative employment opportunities, coupled with urbanization, has created a labor shortage in rural areas. Moreover, the COVID-19 pandemic and extreme weather conditions have posed challenges for crop phenot
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发表于 2025-3-22 12:34:47 | 显示全部楼层
Digital Twins and Predictive Analytics in Smart Agriculture,s, and processes in virtual space. Digital environment is created via prototypes to depict its functioning in real world. Integration of predictive analytics algorithm with digital twin technology makes it more innovative in smart farming. This dual technology creates informed decisions for the farm
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发表于 2025-3-22 18:16:43 | 显示全部楼层
Precision Agriculture: A Novel Approach on AI-Driven Farming,ms. We do, meanwhile, wish to eliminate the gap that exists between our technological advancements and their uses in farming. Agriculture faces numerous obstacles when it comes to planning and harvesting. Farmers must formulate appropriate crops, starting with a study of the soils and land, fertiliz
发表于 2025-3-22 21:21:21 | 显示全部楼层
Embracing IoT and Precision Agriculture for Sustainable Crop Yields,ce in the face of evolving difficulties. This research work is divided into three distinct phases, survey, growth, and warehousing, all of which are linked by the overarching themes of pervasive automation, precision agriculture, and IoT-based technology integration. These phases are further extende
发表于 2025-3-23 03:51:48 | 显示全部楼层
Internet of Things-Based Smart Agriculture Advisory System,g data. For task automation, machine learning and expert systems are of primary importance to study the behavior of computer thinking to involve computers in sensible work, known as “computational intelligence.” The data involves varied formats such as structured, unstructured, as well as semi-struc
发表于 2025-3-23 06:13:03 | 显示全部楼层
Machine Learning (ML) Algorithms on IoT and Drone Data for Smart Farming, crops. The global population will increase to 9.6 billion people by 2050, thanks in large part to 200,000 new people every day. We can only feed the world’s expanding population with increased food yields. Agricultural modernization is necessary. Manually identifying diseases is time-consuming, err
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