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International Conference on Smart and Sustainable Agriculture (2021 :)

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Smart and sustainable agriculture = first International Conference, SSA 2021, virtual event, June 21-22, 2021 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Smart and sustainable agriculture/ edited by Selma Boumerdassi, Mounir Ghogho, Eric Renault.
Reminder of title:	first International Conference, SSA 2021, virtual event, June 21-22, 2021 : proceedings /
remainder title:	SSA 2021
other author:	Boumerdassi, Selma.
corporate name:	International Conference on Smart and Sustainable Agriculture
Published:	Cham :Springer International Publishing : : 2021.,
Description:	x, 187 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Sustainable agriculture - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-88259-4
ISBN:	9783030882594

Smart and sustainable agriculture = first International Conference, SSA 2021, virtual event, June 21-22, 2021 : proceedings /
Smart and sustainable agriculturefirst International Conference, SSA 2021, virtual event, June 21-22, 2021 : proceedings /[electronic resource] :SSA 2021edited by Selma Boumerdassi, Mounir Ghogho, Eric Renault. - Cham :Springer International Publishing :2021. - x, 187 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,14701865-0937 ;. - Communications in computer and information science ;1470..

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.

ISBN: 9783030882594

Standard No.: 10.1007/978-3-030-88259-4doiSubjects--Topical Terms:

588822
Sustainable agriculture
--Congresses.

LC Class. No.: S494.5.S86 / I57 2021

Dewey Class. No.: 630.2086

Smart and sustainable agriculture = first International Conference, SSA 2021, virtual event, June 21-22, 2021 : proceedings /
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505 0 $a 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.
520 $a 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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