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Smart and Sustainable Agriculture [electronic resource] : First International Conference, SSA 2021, Virtual Event, June 21-22, 2021, Proceedings /

Contributor(s): Material type: TextTextSeries: Communications in Computer and Information Science ; 1470Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021Description: X, 187 p. 98 illus., 85 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030882594
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
Fuzzy Logic Based Pasture Assessment Using Weed and Bare Patch Detection -- Ensuring smart agriculture system communication condentiality using a new Network Steganography method -- Deploying Deep Neural Networks on Edge Devices for Grape Segmentation -- Abnormal behavior detection in Farming stream data -- eWeightSmart - a smart approach to beef production management -- Gaia-AgStream: An Explainable AI Platform for Mining Complex Data Streams in Agriculture -- Comparison of Machine Learning and Deep Learning Methods for Grape Cluster Segmentation -- Smart & Sustainable Agriculture - Machine Learning behind this (R)evolution -- A Methodology for Early Detection of Plant Diseases using Real Time Object Detection Algorithm -- Mathematical Modelling of Irrigation System Using WSN -- Development of Soil Nitrogen Estimation System in Oil Palm Land with Sentinel-1 Image Analysis Approach -- New Monitoring framework intelligent irrigation system.
In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the First International Conference on Smart and Sustainable Agriculture, SSA 2021, held as a virtual event in June 2021. The 12 papers presented were thoroughly reviewed and selected from the 25 qualified submissions. The papers provide discussion on new trends in communication and networking, Internet of Things, data processing for smart agriculture, renewable-energy based devices, low-cost solutions for wide-area exploitations and developing countries, smart agriculture and urban farming, smart irrigation, application to small-size andlarge-size exploitations, application of ancestral farming to smart agriculture, waste management for agriculture 2.0, and census of regional ancestral farming. .
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Fuzzy Logic Based Pasture Assessment Using Weed and Bare Patch Detection -- Ensuring smart agriculture system communication condentiality using a new Network Steganography method -- Deploying Deep Neural Networks on Edge Devices for Grape Segmentation -- Abnormal behavior detection in Farming stream data -- eWeightSmart - a smart approach to beef production management -- Gaia-AgStream: An Explainable AI Platform for Mining Complex Data Streams in Agriculture -- Comparison of Machine Learning and Deep Learning Methods for Grape Cluster Segmentation -- Smart & Sustainable Agriculture - Machine Learning behind this (R)evolution -- A Methodology for Early Detection of Plant Diseases using Real Time Object Detection Algorithm -- Mathematical Modelling of Irrigation System Using WSN -- Development of Soil Nitrogen Estimation System in Oil Palm Land with Sentinel-1 Image Analysis Approach -- New Monitoring framework intelligent irrigation system.

This book constitutes the refereed proceedings of the First International Conference on Smart and Sustainable Agriculture, SSA 2021, held as a virtual event in June 2021. The 12 papers presented were thoroughly reviewed and selected from the 25 qualified submissions. The papers provide discussion on new trends in communication and networking, Internet of Things, data processing for smart agriculture, renewable-energy based devices, low-cost solutions for wide-area exploitations and developing countries, smart agriculture and urban farming, smart irrigation, application to small-size andlarge-size exploitations, application of ancestral farming to smart agriculture, waste management for agriculture 2.0, and census of regional ancestral farming. .

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