Cantitate/Preț
Produs
Total produse
Vezi coșul
Agriculture-Centric Computation: First International Conference, ICA 2023, Chandigarh, India, May 11-13, 2023, Revised Selected Papers de Mukesh Kumar Saini

Agriculture-Centric Computation: First International Conference, ICA 2023, Chandigarh, India, May 11-13, 2023, Revised Selected Papers: Communications in Computer and Information Science, cartea 1866

Editat de Mukesh Kumar Saini, Neeraj Goel, Hanumant Singh Shekhawat, Jaime Lloret Mauri, Dhananjay Singh
en Limba Engleză Paperback – 27 sep 2023
This 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.
Citește tot Restrânge

Din seria Communications in Computer and Information Science

Preț: 47338 lei

Preț vechi: 59173 lei
-20% Nou

Puncte Express: 710
Preț estimativ în valută:
9058€ • 9481$ • 7539£

Carte tipărită la comandă

Livrare economică 31 martie-14 aprilie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783031436048
ISBN-10: 3031436040
Ilustrații: XII, 254 p. 96 illus., 75 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.38 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

Fine 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.