A low cost architecture for remote control and monitoring of greenhouse fields

Moga, Daniel; Petreuş, Dorin; Stroia, Nicoleta

doi:10.1109/iciea.2012.6361046

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…Considering previously developed sensing modules (Figure 10) ( [45,[50][51][52][53]), and the versatile modular architecture that was demonstrated in a broad range of applications (greenhouse climate control, smart-home on-demand ventilation, air-quality monitoring, etc. ), the first approach considered was to reuse the hardware functionality of the host module, based on a 32-bit microcontroller, as much as possible, and to interface it to the energy metering board.…”

Section: Development Of the Smart-meter Node With Wireless Communicationmentioning

confidence: 99%

Integrated Smart-Home Architecture for Supporting Monitoring and Scheduling Strategies in Residential Clusters

Stroia

Moga²,

Petreuş³

et al. 2022

Buildings

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The monitoring of power consumption and the forecasting of load profiles for residential appliances are essential aspects of the control of energy savings/exchanges at multiple hierarchical levels: house, house cluster, neighborhood, and city. External environmental factors (weather conditions) and inhabitants’ behavior influence power consumption, and their usage as part of forecasting activity may lead to added value in the estimation of daily-load profiles. This paper proposes a distributed sensing infrastructure for supporting the following tasks: the monitoring of appliances’ power consumption, the monitoring of environmental parameters, the generation of records for a database that can be used for both identifying load models and testing load-scheduling algorithms, and the real-time acquisition of consumption data. The hardware/software codesign of an integrated architecture that can combine the typical distributed sensing and control networks present in modern buildings (targeting user comfort) with energy-monitoring and management systems is presented. Methods for generating simplified piecewise linear (PWL) representations of the load profiles based on these records are introduced and their benefits compared with classic averaged representations are demonstrated for the case of peak-shaving strategies. The proposed approach is validated through implementing and testing a smart-meter node with wireless communication and other wired/wireless embedded modules, enabling the tight integration of the energy-monitoring system into smart-home/building-automation systems. The ability of this node to process power measurements with a programable granularity level (seconds/minutes/hours) at the edge level and stream the processed measurement results at the selected granularity to the cloud is identified as a valuable feature for a large range of applications (model identification, power saving, prediction).

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Section: Development Of the Smart-meter Node With Wireless Communicationmentioning

confidence: 99%

Integrated Smart-Home Architecture for Supporting Monitoring and Scheduling Strategies in Residential Clusters

Stroia

Moga²,

Petreuş³

et al. 2022

Buildings

Self Cite

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“…For defining the desired profiles of the controlled variables, experiments with a first version of an application, called Process Editor, are mentioned in [13]. The application was extended, allowing a set of processes (up to 8) to be defined and saved.…”

Section: Implementation Of the Crop Planning Modulementioning

confidence: 99%

A Cost-Effective Embedded Platform for Greenhouse Environment Control and Remote Monitoring

et al. 2020

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This paper presents the development of a cost-effective automatic system for greenhouse environment control. The architectural and functional features were analyzed in the context of the realization of a controlled-environment agricultural system through all its stages: installation, deployment of the software, integration, maintenance, crop control strategy setup and daily operation of the grower. The proposed embedded platform provides remote monitoring and control of the greenhouse environment and is implemented as a distributed sensing and control network integrating wired and wireless nodes. All nodes were built with low-cost, low-power microcontrollers. The key issues that were addressed include the energy-efficient control, the robustness of the distributed control network to faults and a low-cost hardware implementation. The translation of the supervisory growth-planning information to the operational (control network) level is achieved through a specific architecture residing on a crop planning module (CPM) and an interfacing block (IB). A suite of software applications with flows and interfaces developed from a grower-centric perspective was designed and implemented on a multi-tier architecture. The operation of the platform was validated through implementation of sensing and control nodes, application of software for configuration and visualization, and deployment in typical greenhouses.

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“…There is documentation about greenhouse automation since the beginning of the 21st century, so many companies today provide these services allowing the user to visualize the measurements at all times and to control the actuators on site to regulate the environment and maintain adequate conditions for the crops [25]. In some places they have thermal screens that use a system to monitor through a digital timer or through radiation and illumination probes; in addition to the heating of air and water that measures a suitable temperature for the place of the culture making the yield to be to the maximum.…”

Section: High Technologymentioning

confidence: 99%

Automation and control of greenhouse implemented technologies: a review

Osorio-Luna

Molina-Ruiz²

2019

Vis. Electron.

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Protected agriculture is a way of producing food by creating a microclimate that allows protecting a crop from the risks inherent in free exposure; in this sense, its purpose is to guarantee the optimal and appropriate conditions of internal variables to generate reproduction, development and growth of plants with quality and commercial opportunity. In this way, the application of technologies to crops has extended considerably due to the need to optimize this productive alternative: in this respect, there are multiple scattered investigations based on particular designs of elements such as greenhouses. Therefore, this article shows a review on protected agriculture aimed at the automation of greenhouses in countries that have implemented emerging technologies in this field and the consequent control generated in the stages of the production cycle through sensors, actuators, specific covers or robots designed to perform tasks such as spraying or harvesting, among others. Key analysis elements are presented on the modeling of the phenomenon that underlies the implementations, so that systems with the necessary adaptation are achieved for any crop, taking into account its type, cost and location, defining a baseline on the technologies that make it functional and efficient.

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A low cost architecture for remote control and monitoring of greenhouse fields

Cited by 6 publications

References 11 publications

Integrated Smart-Home Architecture for Supporting Monitoring and Scheduling Strategies in Residential Clusters

Integrated Smart-Home Architecture for Supporting Monitoring and Scheduling Strategies in Residential Clusters

A Cost-Effective Embedded Platform for Greenhouse Environment Control and Remote Monitoring

Automation and control of greenhouse implemented technologies: a review

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