Smart Agriculture: Emerging Pedagogies of Deep Learning, Machine Learning and Internet of Things
暫譯: 智慧農業：深度學習、機器學習與物聯網的新興教學法

Name: Smart Agriculture: Emerging Pedagogies of Deep Learning, Machine Learning and Internet of Things
Price: 4665 TWD
Availability: OnlineOnly
Author: Patel, Govind Singh, Rai, Amrita, Das, Nripendra Narayan
ISBN: 0367535807

Patel, Govind Singh, Rai, Amrita, Das, Nripendra Narayan

出版商: CRC
出版日期: 2021-01-15
售價: $4,910
貴賓價: 9.5 折 $4,665
語言: 英文
頁數: 254
裝訂: Hardcover - also called cloth, retail trade, or trade
ISBN: 0367535807
ISBN-13: 9780367535803
相關分類: Machine Learning、DeepLearning、物聯網 IoT

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商品描述

This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications. The farming industry and Smart agriculture develop from the stringent limits imposed by a farm's location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers' decision-making and insurance, and environmental concerns among others. All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered. Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Most agricultural research centres are already adopting Internet of Things for the monitoring of a wide range of farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures.

商品描述(中文翻譯)

本書旨在突顯智慧農業在創新和擴展農業部門方面的潛力。隨著時間的推移，該部門將透過人工智慧、深度學習和物聯網應用，從數據之間的關聯中學習，實現漸進式的進步。農業產業和智慧農業的發展受到農場位置所施加的嚴格限制，這反過來又對供應鏈管理、食品可用性、生物多樣性、農民的決策和保險以及環境問題等方面產生一系列相關影響。上述所有方面都將從數據驅動的方法中獲得實質性的好處，前提是所使用的系統、工具和技術已經設計好以處理所收集數據的量和多樣性。本書徵求貢獻的目的是揭示利用配備有效的深度學習算法來參與農業的可能性。大多數農業研究中心已經開始採用物聯網來監控各種農場服務，並且透過有效實施機器學習、深度學習、大數據和物聯網架構，農業管理有著顯著的機會。

作者簡介

Dr. Govind Singh Patel has a PhD in Electronics and Communication Engineering from Thapar University, Patiala, India. He is working as a Professor in Lovely Professional University, Jalandhar, PB, India, and has published more than 45 papers in National and International Journals. He is a reviewer of many international journals like Springer, JCTN and more.

Dr. Amrita Rai received PhD in Electronics and Communication Engineering from Thapar University, Patiala, India. She is working as Associate Professor in UPTU, India. She has published more than 40 papers in National and International Journals.

Dr. Nripendra Narayan Das received PhD in Computer Science Engineering from Gautam Budda University, UP, India. He is working as Associate Professor in Manipal University, Jaipur, India. He has published more than 30 papers in National and International Journals.

Dr. R. P. Singh is working as Assistant Professor in School of Electrical and Computer Engineering, Haramaya Institute of Technology, Haramaya University, Diredawa, Ethopia, Africa. He has published more than 25 papers in National and International Journals.