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024	7		_a10.1007/978-3-031-43605-5 _2doi
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245	1	0	_aAgriculture-Centric Computation _h[electronic resource] : _bFirst International Conference, ICA 2023, Chandigarh, India, May 11-13, 2023, Revised Selected Papers / _cedited by Mukesh Kumar Saini, Neeraj Goel, Hanumant Singh Shekhawat, Jaime Lloret Mauri, Dhananjay Singh.
250			_a1st ed. 2023.
264		1	_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2023.
300			_aXII, 254 p. 96 illus., 75 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aCommunications in Computer and Information Science, _x1865-0937 ; _v1866
505	0		_aFine Tuned Single Shot Detector for Finding Disease Patches in Leaves -- Empirical Analysis and Evaluation of Factors Influencing Adoption of AI-based Automation Solutions for Sustainable Agriculture -- FusedNet Model for Varietal Classification of Rice Seeds -- Fertilizer Recommendation using Ensemble Filter-based Feature Selection Approach -- Privacy-Preserving Pest Detection Using Personalized Federated Learning -- A review on applications of artificial intelligence for identifying soil nutrients -- IRPD: In-Field Radish Plant Dataset -- Fast Rotated Bounding Box Annotations for Object Detection -- IndianPotatoWeeds: An Image Dataset of Potato Crop to Address Weed Issues in Precision Agriculture -- Estimation Of Leaf Parameters in Punjab Region Through Multi-Spectral Drone Images using Deep Learning Models -- Application of near-infrared (NIR) hyperspectral imaging system for protein content prediction in chickpea flour -- Classification of crops based on band quality and redundancy from hyperspectral image -- Automated Agriculture News Collection, Analysis, and Recommendation -- Intelligent Chatbot Assistant in Agriculture Domain -- Machine Learning Methods for Crop Yield Prediction -- Real-time Plant Disease Detection: A Comparative Study -- Fruit Segregation using Deep Learning -- Investigation of the bulk and electronic properties of boron/nitrogen/indium doped armchair graphene nanoribbon for sensing plant VOC: A DFT study.
520			_aThis book constitutes revised selected papers from the First International Conference on Agriculture-Centric Computation, ICA 2023, held in Chandigarh, India, in May 2023. The 18 papers were thoroughly reviewed and selected from the 52 submissions. They examine how computing disciplines such as big data analytics, artificial intelligence, machine learning, the Internet of Things (IoT), remote sensing, robotics, and drones can be applied to agriculture to address some of the biggest challenges facing the industry today, including climate change, food security, and environmental sustainability.
650		0	_aArtificial intelligence.
650		0	_aComputer networks .
650		0	_aMachine learning.
650		0	_aData mining.
650		0	_aImage processing _xDigital techniques.
650		0	_aComputer vision.
650	1	4	_aArtificial Intelligence.
650	2	4	_aComputer Communication Networks.
650	2	4	_aMachine Learning.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aComputer Imaging, Vision, Pattern Recognition and Graphics.
700	1		_aSaini, Mukesh Kumar. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGoel, Neeraj. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aShekhawat, Hanumant Singh. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMauri, Jaime Lloret. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSingh, Dhananjay. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783031436048
776	0	8	_iPrinted edition: _z9783031436062
830		0	_aCommunications in Computer and Information Science, _x1865-0937 ; _v1866
856	4	0	_uhttps://doi.org/10.1007/978-3-031-43605-5
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912			_aZDB-2-SXCS
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999			_c184941 _d184941