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003			ES-MaUEC
005			20240420130009.0
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008			230926s2023 sz | fo |||| 0|eng d
020			_a9783031436055
024	7		_a10.1007/978-3-031-43605-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aS494.5 .D3 _b2023 EB
245	0	0	_aAgriculture-Centric Computation : _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 _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_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.
988			_aSpringer_Computer_2023
650		7	_2embne _9157302 _aAgricultura sostenible _xProceso de datos _vCongresos y asambleas
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-43605-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2024 _dz _ean _zSI