A new agriculture monitoring system based on WSNs

Chang, Hui-Ming; Zhou, Nan; Zhao, Xiangmo; Cao, Qinghua; Tan, Min; Zhang, Yongbei

doi:10.1109/icosp.2014.7015295

Cited by 21 publications

(4 citation statements)

References 10 publications

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“…Studies in cluster 1 focused on WSN and RFID as two key technologies that provide better temperature monitoring capabilities than traditional temperature mapping techniques [45] [110]. While past research has focused on documenting and improving the application of these technologies to CC, future research should emphasise solving persisting technical hurdles, especially regarding WSN.…”

Section: ) Findings and Future Research Avenuesmentioning

confidence: 99%

Shaping the Future of Cold Chain 4.0 Through the Lenses of Digital Transition and Sustainability

Shashi¹,

Ertz

Centobelli

et al. 2024

IEEE Trans. Eng. Manage.

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The digitisation of supply chain management lies at the crux of modern industry and similar trends are noticeable in the cold chain (CC) under the cold chain 4.0 (CC 4.0) concept. However, the extant research lacks a systematic summary of existing findings on CC 4.0. Therefore, this study provides a bibliometric and network analysis of 618 high-quality CC 4.0 publications extracted from the Web of Science (WoS). The study uses performance assessment and science mapping to investigate the impact of digital and sustainable technologies in the CC domain. Four main research streams and 19 research propositions are identified to provide an informative overview of the most recent developments in the emerging and growing domain of CC 4.0 and the interface between information systems and operations management. The study further identifies the critical role and impacts of digital-sustainable transformation and presents an agenda for future research focusing on critical theoretical and managerial areas that remain understudied.

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Section: ) Findings and Future Research Avenuesmentioning

confidence: 99%

Shaping the Future of Cold Chain 4.0 Through the Lenses of Digital Transition and Sustainability

Shashi¹,

Ertz

Centobelli

et al. 2024

IEEE Trans. Eng. Manage.

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“…There have been several contributions [23,24] to lower the management cost with the help of agricultural policy and innovative farming methods. Also, for better analysis the sensor data are integrated with the video information for precision effective farming [25]. However, it is equally crucial to access the risks associated with the new agricultural practices before its adoption on the field [26].…”

Section: Related Workmentioning

confidence: 99%

Leveraging LoRaWAN Technology for Precision Agriculture in Greenhouses

Singh

Aernouts

Meyer

et al. 2020

Sensors

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The technology development in wireless sensor network (WSN) offers a sustainable solution towards precision agriculture (PA) in greenhouses. It helps to effectively use the agricultural resources and management tools and monitors different parameters to attain better quality yield and production. WSN makes use of Low-Power Wide-Area Networks (LPWANs), a wireless technology to transmit data over long distances with minimal power consumption. LoRaWAN is one of the most successful LPWAN technologies despite its low data rate and because of its low deployment and management costs. Greenhouses are susceptible to different types of interference and diversification, demanding an improved WSN design scheme. In this paper, we contemplate the viable challenges for PA in greenhouses and propose the successive steps essential for effectual WSN deployment and facilitation. We performed a real-time, end-to-end deployment of a LoRaWAN-based sensor network in a greenhouse of the ’Proefcentrum Hoogstraten’ research center in Belgium. We have designed a dashboard for better visualization and analysis of the data, analyzed the power consumption for the LoRaWAN communication, and tried three different enclosure types (commercial, simple box and airflow box, respectively). We validated the implications of real-word challenges on the end-to-end deployment and air circulation for the correct sensor readings. We found that temperature and humidity have a larger impact on the sensor readings inside the greenhouse than we initially thought, which we successfully solved through the airflow box design.

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“…Las heterogeneidades presentes en el material compuesto producen concentradores de tensiones los cuales a su vez determinan el comportamiento mecánico de fractura final. Por otra parte, se observa que a mayor cantidad de contenido de fibra aumenta el módulo, lo cual coincide con lo reportado bibliográficamente (Ching et al, 2014). El resumen del análisis de varianza, presentado en la Figura 4(b), evidenció que el factor con significancia estadística es el contenido de fibra.…”

Section: Figura 3: Espectros Infrarrojo De Materiales Compuestos Obteunclassified

Materiales compuestos obtenidos a partir de residuos de raquis de palma africana, alcohol polivinílico y almidón modificado de oca

Álvarez

Kreiker²,

Raggiotti³

et al. 2020

AJEA

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La gestión de los residuos de raquis generados durante el proceso industrial de extracción de aceite de palma constituye un reto que, en Ecuador, aún no ha sido abordado de manera efectiva. Es así que el objetivo del estudio doctoral es el aprovechamiento de estos residuos en el desarrollo de composites con diferentes matrices poliméricas. En el presente trabajo, se empleó la técnica de moldeo por compresión para la elaboración de materiales compuestos con fibra de raquis, alcohol polivinílico y almidón de oca modificado con urea. Se analizó la influencia de tres factores (temperatura de procesamiento, contenido y tamaño de fibra) sobre el módulo de elasticidad. Adicionalmente, se examinó la presencia de grupos funcionales por espectroscopía infrarroja. Los resultados globales evidenciaron la susceptibilidad de las materias primas para formar composites flexibles y macroscópicamente homogéneos. La evaluación infrarroja mostró varios grupos funcionales característicos de los componentes del material y otros particularmente asociados a carbamatos de almidón de oca. Si bien el factor con significancia estadística para el módulo de elasticidad fue el contenido de fibra, no se observaron correlaciones específicas entre los factores estudiados.

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A new agriculture monitoring system based on WSNs

Cited by 21 publications

References 10 publications

Shaping the Future of Cold Chain 4.0 Through the Lenses of Digital Transition and Sustainability

Shaping the Future of Cold Chain 4.0 Through the Lenses of Digital Transition and Sustainability

Leveraging LoRaWAN Technology for Precision Agriculture in Greenhouses

Materiales compuestos obtenidos a partir de residuos de raquis de palma africana, alcohol polivinílico y almidón modificado de oca

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