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Titlebook: Smart Agriculture Automation Using Advanced Technologies; Data Analytics and M Amitava Choudhury,Arindam Biswas,Santanu Kumar Gho Book 2021

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发表于 2025-3-21 18:25:00 | 显示全部楼层 |阅读模式
书目名称Smart Agriculture Automation Using Advanced Technologies
副标题Data Analytics and M
编辑Amitava Choudhury,Arindam Biswas,Santanu Kumar Gho
视频video
概述Provides interdisciplinary study between agriculture and computer science for automated agriculture sector.Discusses various automation methods.Includes practical information on applicability of agric
丛书名称Transactions on Computer Systems and Networks
图书封面Titlebook: Smart Agriculture Automation Using Advanced Technologies; Data Analytics and M Amitava Choudhury,Arindam Biswas,Santanu Kumar Gho Book 2021
描述.This book addresses the challenges for developing and emerging trends in Internet-of-Things (IoT) for smart agriculture platforms. It also describes data analytics & machine learning, cloud architecture, automation & robotics and aims to overcome existing barriers for smart agriculture with commercial viability. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. The book explores a range of applications including intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems. This volume will be helpful for engineering and technology experts and researchers, as well as for policy-makers..
出版日期Book 2021
关键词Internet of Things; Machine Learning; Smart Agriculture; Smart Farming; Security; Cloud Architecture; Agri
版次1
doihttps://doi.org/10.1007/978-981-16-6124-2
isbn_softcover978-981-16-6126-6
isbn_ebook978-981-16-6124-2Series ISSN 2730-7484 Series E-ISSN 2730-7492
issn_series 2730-7484
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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发表于 2025-3-22 01:15:43 | 显示全部楼层
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ML-Based Smart Farming Using LSTM,er to meet the world‘s food demand. We have proposed a system for increasing crop yields that includes a tracking model that uses Wireless Sensor Networks (WSN) and cloud computing to manage parameters and gather information about the field‘s soil using temperature sensors, moisture sensors, air hum
发表于 2025-3-22 11:08:09 | 显示全部楼层
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发表于 2025-3-22 17:53:39 | 显示全部楼层
Application of IoT-Enabled 5G Network in the Agricultural Sector,s of 5G communication over the commonly used networks. The appropriateness of 5G networks in the farming sector, requirement of high-speed communication system and application of 5G; advantages of 5G; implementations of 5G in smart farming like live tracking, remote guidance, threat detection, stati
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On Securing Smart Agriculture Systems: A Data Aggregation Security Perspective,mote unstable environments. In this chapter, we aim to conduct a study on how to secure the smart agricultural systems by initially making a systematic risk assessment on the system. Based on the vulnerabilities and risk studied, we propose a light weight Arduino-based smart agriculture model. This
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