000 04591cam a22005898i 4500
001 9781003138884
003 FlBoTFG
005 20220509193003.0
006 m d u
007 cr |||||||||||
008 200811s2021 flu o 000 0 eng
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9781003138884
_q(ebook)
020 _a1003138888
020 _z9780367535803
_q(hardback)
020 _a9781000327892
_q(ePub ebook)
020 _a1000327892
020 _a9781000327878
_q(PDF ebook)
020 _a1000327876
020 _a9781000327885
_q(Mobipocket ebook)
020 _a1000327884
020 _z9780367687687
024 7 _a10.1201/b22627
_2doi
035 _a(OCoLC)1184123376
035 _a(OCoLC-P)1184123376
050 0 0 _aS494.5.D3
072 7 _aSCI
_x011000
_2bisacsh
072 7 _aTEC
_x003000
_2bisacsh
072 7 _aTEC
_x046000
_2bisacsh
072 7 _aTVB
_2bicssc
082 0 0 _a338.10285
_223
245 0 0 _aSmart agriculture :
_bemerging pedagogies of deep learning, machine learning and Internet of Things /
_cedited by Govind Singh Patel, LPU Phagwara, India, Amrita Rai, UPTU, India, Nripendra Narayan Das, Manipal University Jaipur, India, R.P. Singh, Haramaya University, Diredawa, Ethiopia.
250 _aFirst edition.
264 1 _aBoca Raton :
_bCRC Press/Balkema/Taylor & Francis Group,
_c[2021]
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bn
_2rdamedia
338 _aonline resource
_bnc
_2rdacarrier
520 _a"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"--
_cProvided by publisher.
505 0 _aMachine learning and deep learning in agriculture, Descriptive and predictive analytics of agricultural data using machine learning algorithms, Discrimination between weed and crop via image analysis using machine learning algorithm, Bio-inspired optimization algorithms for machine learning in agriculture applications, Agricultural modernization with forecasting stages and machine learning, Classification of segmented image using increased global contrast for Paddy plant disease, IOT in agriculture: Survey on technology, challenges and future scope, Role of IoT in sustainable farming,Smart farming: Crop models and decision support systems using IOT, Smart irrigation in farming using internet of things, Automation systems in agriculture via IOT, A complete automated solution for farm field and garden nurture using internet of things, Machine intelligence techniques for agricultural production: Case study with tomato leaf disease detection, Clock signal and its attribute for agriculture.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aArtificial intelligence
_xAgricultural applications.
650 0 _aAgricultural innovations.
650 0 _aMachine learning.
650 0 _aInternet of things.
650 0 _aBig data.
650 7 _aSCIENCE / Life Sciences / Botany
_2bisacsh
650 7 _aTECHNOLOGY / Agriculture / General
_2bisacsh
650 7 _aTECHNOLOGY / Machinery
_2bisacsh
700 1 _aPatel, Govind Singh,
_eeditor.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003138884
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c127783
_d127783