國立虎尾科技大學 |

Information and Communication Technologies for Agriculture—Theme I: Sensors

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Information and Communication Technologies for Agriculture—Theme I: Sensors/ edited by Dionysis D. Bochtis, Maria Lampridi, George P. Petropoulos, Yiannis Ampatzidis, Panos Pardalos.
其他作者:	Pardalos, Panos.
面頁冊數:	XIV, 325 p. 135 illus., 126 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Mathematical Applications in Environmental Science. -
電子資源:	https://doi.org/10.1007/978-3-030-84144-7
ISBN:	9783030841447

Information and Communication Technologies for Agriculture—Theme I: Sensors
Information and Communication Technologies for Agriculture—Theme I: Sensors[electronic resource] /edited by Dionysis D. Bochtis, Maria Lampridi, George P. Petropoulos, Yiannis Ampatzidis, Panos Pardalos. - 1st ed. 2022. - XIV, 325 p. 135 illus., 126 illus. in color.online resource. - Springer Optimization and Its Applications,1821931-6836 ;. - Springer Optimization and Its Applications,104.

Section I: Overview: Emerging Sensing Technologies for Precision Agriculture (Pardalos) -- Soil reflectance spectroscopy for supporting Sustainable Development Goals (Angelopoulou) -- Proximal sensing sensors for monitoring crop growth (Hallik) -- Section II: Wireless network systems applications: Experimental performance evaluation techniques of LoRa radio modules and exploitation for agricultural use (Loukatos) -- Evaluating the performance of a simulated softwarized agricultural wireless sensor network (M. Mostaco) -- Smart agriculture: A low-cost wireless sensor network approach (Angelis) -- Section III: Remote sensing applications: Potential of Sentinel-2 satellite and novel proximal sensor data fusion for agricultural applications (Pandžić) -- Trends in satellite sensors and image time series processing methods for crop phenology monitoring (Verrelst) -- Drone imagery in support of orchards trees vegetation assessment based on spectral indices and deep learning (Șandric) -- Section IV: Proximal sensing applications: What does the NDVI really tell us about crops? Insight from proximal spectral field sensors (Atherton) -- Geophysical sensors for mapping soil layers - a comparative case study using different electrical and electromagnetic sensors (Luck) -- Geoinformation technologies in pest management: mapping olive fruit fly population in olive trees (Papafilippaki) -- In-field experiments for performance evaluation of a new low-cost active multispectral crop sensor (Tagarakis).

This volume is the first (I) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Volumes are related to ‘digital transformation” within agricultural production and provision systems, and in the context of Smart Farming Technology and Knowledge-based Agriculture. Content spans broadly from data mining and visualization to big data analytics and decision making, alongside with the sustainability aspects stemming from the digital transformation of farming. The four volumes comprise the outcome of the 12th EFITA Congress, also incorporating chapters that originated from select presentations of the Congress. The focus in this volume is on different aspects of sensors implementation in agricultural production (e.g., types of sensors, parameters monitoring, network types, connectivity, accuracy, reliability, durability, and needs to be covered) and provides variety of information and knowledge in the subject of sensors design, development, and deployment for monitoring agricultural production parameters. The book consists of four (4) Sections. The first section presents an overview on the state-off-the art in sensing technologies applied in agricultural production while the rest of the sections are dedicated to remote sensing, proximal sensing, and wireless sensor networks applications. Topics include: Emerging sensing technologies Soil reflectance spectroscopy LoRa technologies applications in agriculture Wireless sensor networks deployment and applications Combined remote and proximal sensing solutions Crop phenology monitoring Sensors for geophysical properties Combined sensing technologies with geoinformation systems .

ISBN: 9783030841447

Standard No.: 10.1007/978-3-030-84144-7doiSubjects--Topical Terms:

1366053
Mathematical Applications in Environmental Science.

LC Class. No.: T57.6-57.97

Dewey Class. No.: 003

Information and Communication Technologies for Agriculture—Theme I: Sensors
LDR:04915nam a22004215i 4500 001 1092633
003 DE-He213
005 20220411201857.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783030841447 $9 978-3-030-84144-7
024 7 $a 10.1007/978-3-030-84144-7 $2 doi
035 $a 978-3-030-84144-7
050 4 $a T57.6-57.97
050 4 $a T55.4-60.8
072 7 $a KJT $2 bicssc
072 7 $a BUS049000 $2 bisacsh
072 7 $a KJT $2 thema
082 0 4 $a 003 $2 23
245 1 0 $a Information and Communication Technologies for Agriculture—Theme I: Sensors $h [electronic resource] / $c edited by Dionysis D. Bochtis, Maria Lampridi, George P. Petropoulos, Yiannis Ampatzidis, Panos Pardalos.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a XIV, 325 p. 135 illus., 126 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Springer Optimization and Its Applications, $x 1931-6836 ; $v 182
505 0 $a Section I: Overview: Emerging Sensing Technologies for Precision Agriculture (Pardalos) -- Soil reflectance spectroscopy for supporting Sustainable Development Goals (Angelopoulou) -- Proximal sensing sensors for monitoring crop growth (Hallik) -- Section II: Wireless network systems applications: Experimental performance evaluation techniques of LoRa radio modules and exploitation for agricultural use (Loukatos) -- Evaluating the performance of a simulated softwarized agricultural wireless sensor network (M. Mostaco) -- Smart agriculture: A low-cost wireless sensor network approach (Angelis) -- Section III: Remote sensing applications: Potential of Sentinel-2 satellite and novel proximal sensor data fusion for agricultural applications (Pandžić) -- Trends in satellite sensors and image time series processing methods for crop phenology monitoring (Verrelst) -- Drone imagery in support of orchards trees vegetation assessment based on spectral indices and deep learning (Șandric) -- Section IV: Proximal sensing applications: What does the NDVI really tell us about crops? Insight from proximal spectral field sensors (Atherton) -- Geophysical sensors for mapping soil layers - a comparative case study using different electrical and electromagnetic sensors (Luck) -- Geoinformation technologies in pest management: mapping olive fruit fly population in olive trees (Papafilippaki) -- In-field experiments for performance evaluation of a new low-cost active multispectral crop sensor (Tagarakis).
520 $a This volume is the first (I) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Volumes are related to ‘digital transformation” within agricultural production and provision systems, and in the context of Smart Farming Technology and Knowledge-based Agriculture. Content spans broadly from data mining and visualization to big data analytics and decision making, alongside with the sustainability aspects stemming from the digital transformation of farming. The four volumes comprise the outcome of the 12th EFITA Congress, also incorporating chapters that originated from select presentations of the Congress. The focus in this volume is on different aspects of sensors implementation in agricultural production (e.g., types of sensors, parameters monitoring, network types, connectivity, accuracy, reliability, durability, and needs to be covered) and provides variety of information and knowledge in the subject of sensors design, development, and deployment for monitoring agricultural production parameters. The book consists of four (4) Sections. The first section presents an overview on the state-off-the art in sensing technologies applied in agricultural production while the rest of the sections are dedicated to remote sensing, proximal sensing, and wireless sensor networks applications. Topics include: Emerging sensing technologies Soil reflectance spectroscopy LoRa technologies applications in agriculture Wireless sensor networks deployment and applications Combined remote and proximal sensing solutions Crop phenology monitoring Sensors for geophysical properties Combined sensing technologies with geoinformation systems .
650 2 4 $a Mathematical Applications in Environmental Science. $3 1366053
650 2 4 $a Information Storage and Retrieval. $3 593926
650 1 4 $a Operations Research, Management Science . $3 1366052
650 0 $a Environmental sciences—Mathematics. $3 1366051
650 0 $a Information storage and retrieval systems. $3 561170
650 0 $a Management science. $3 719678
650 0 $a Operations research. $3 573517
700 1 $a Pardalos, Panos. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 883740
700 1 $a Ampatzidis, Yiannis. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1397212
700 1 $a Petropoulos, George P. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1132218
700 1 $a Lampridi, Maria. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1366049
700 1 $a Bochtis, Dionysis D. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1366047
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030841430
776 0 8 $i Printed edition: $z 9783030841454
776 0 8 $i Printed edition: $z 9783030841461
830 0 $a Springer Optimization and Its Applications, $x 1931-6828 ; $v 104 $3 1255232
856 4 0 $u https://doi.org/10.1007/978-3-030-84144-7
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)