Towards user accepted optimal control of greenhouse climate

Straten, G. van; Challa, H.; Buwalda, F.

doi:10.1016/s0168-1699(00)00077-6

Cited by 70 publications

(60 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, the importance of combining embedded sensor-intensive systems with consideration of users' interactions with such systems has appeared more recently [17]. Within the climate control community (not in the HCI community), Van Straten et al [18] proposed that the interactive use of sensor-intensive information about crop growth would allow greenhouse control strategies to become more optimal in an economic sense. Both long-term and short-term dynamics of the crop and greenhouse and external weather conditions could be considered in such interactive control strategies.…”

Section: Hci In Interactive Climate Managementmentioning

confidence: 99%

“…However, a major challenge in the development of interactive control strategies is the lack of reliable crop development models for the wide variety of crops encountered in real settings and the consequential need for a sensible allocation of tasks for the human grower and automatic control systems. One proposed solution is a two-systems approach, an interactive sensor-intensive control system for day-to-day climate control, and another more decision-support-like system to consider the long-term effects of climate management on crop production [18]. Within such a grower-oriented framework, the grower interacts with the system by setting constraints on temperature, humidity, and other evapo-transpiration variables over a period of interest.…”

Section: Hci In Interactive Climate Managementmentioning

confidence: 99%

See 1 more Smart Citation

A Design Science Approach to Interactive Greenhouse Climate Control Using Lego Mindstorms for Sensor-Intensive Prototyping

Pedersen

Clemmensen

2013

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

Abstract. In this paper, we describe a design science framework for the use of interactive, sensor-intensive prototypes to develop interactive greenhouse climate management systems. We emphasize the ways in which design science, and in particular what we call micro information systems, may enhance the human-computer interaction (HCI) aspects of emission control performance through better interactive control interfaces and the utilization of sensor network technology. By applying guidelines suggested in design science to the case studied, we identify a number of interactive prototypes that successively address core issues in this particular setting. Starting from a simple humancomputer interaction with a one-sensor-one-output prototype made in Lego Mindstorms NXT, we end up with a custom made sensor that addresses interaction with our particular user profile: the gardener. Thus, we provide a reference platform for combining micro information systems and human-computer interaction in design science research into environmental sustainability research.

show abstract

Section: Hci In Interactive Climate Managementmentioning

confidence: 99%

Section: Hci In Interactive Climate Managementmentioning

confidence: 99%

A Design Science Approach to Interactive Greenhouse Climate Control Using Lego Mindstorms for Sensor-Intensive Prototyping

Pedersen

Clemmensen

2013

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

show abstract

“…Os aspectos relacionados ao crescimento das plantas e a influência do controle das variáveis climáticas, dentre elas a temperatura, devem ser tomados em consideração pois, como mostrado por Straten et al (2000), as características de cada cultura, a falta de conhecimento das respostas a diferentes tratamentos e respostas fisiológicas, podem levar à separação das responsabilidades do sistema de controle tendo efeito a curto e longo prazos, na qualidade da produção. O controle da temperatura tem sido feito aplicando-se uma variedade de técnicas, dentre elas o controle linear quadrá-tico (LQ), através de controladores PID (Proporcional + Integral + Derivativo), controladores PI (Proporcional + Integral) e malhas com retroalimentação (feedback control), que cada vez vêm sendo mais usadas.…”

Section: Temperaturaunclassified

Controle automatizado de casas de vegetação: variáveis climáticas e fertigação

Teruel¹

2010

Rev. bras. eng. agríc. ambient.

View full text Add to dashboard Cite

Controle automatizado de casas de vegetação:Variáveis climáticas e fertigação Bárbara J. Teruel 1 RESUMO A aplicação de técnicas de automação e controle em casas de vegetação teve início nos anos 50, com o controle da temperatura através de termostatos; desde então, as mudanças tecnológicas têm abarcado todos os aspectos que compõem o sistema, do projeto estrutural até aspectos relacionados à sustentabilidade. Dentre os parâmetros que devem ser controlados, a temperatura e umidade relativa do ar, a radiação solar, a concentração de CO 2 , a ventilação e a fertigação têm tido uma evolução significativa, dos quais se apresenta uma panorâmica através da revisão do estado da arte de trabalhos publicados nessas temáticas, nos últimos anos. Na atualidade, temas relacionados com a redução do impacto ao meio ambiente e a produção eficiente e com qualidade, estão levando as casas de vegetação ao caminho da Agricultura de Precisão. Palavras-chave: temperatura, umidade relativa, concentração de CO 2 , ventilação, solução nutritivaAutomatized control in greenhouses: Climatic variables and fertigation ABSTRACTThe application of techniques of automation and control in greenhouses began in the years 50, starting with the control of temperature through thermostats. Since then, technological changes have covered all aspects that make up the system, from constructional features up to aspects of sustainability. The control of parameters sulh as, temperature and relative humidity, solar radiation, the concentration of CO 2 , ventilation and fertigation, had significant development, from which it provides a review of published works about these themes in recent years. Currently, issues related to reducing the impact to the environment and efficient production and quality, are taking the greenhouses towards Precision Agriculture.

show abstract

“…Finally, they conducted a case study of greenhouse farming in central Turkey. Van Straten et al [24] developed an optimal control model for the greenhouse climate required for crop growth. They described the relationship between crop biomass growth and climate in a greenhouse production system using differential equations.…”

Section: Introductionmentioning

confidence: 99%

Food-Energy Interactive Tradeoff Analysis of Sustainable Urban Plant Factory Production Systems

Huang

Chen

et al. 2018

Sustainability

View full text Add to dashboard Cite

Abstract:This research aims to analyze the food-energy interactive nexus of sustainable urban plant factory systems. Plant factory systems grow agricultural products within artificially controlled growing environment and multi-layer vertical growing systems. The system controls the supply of light, temperature, humidity, nutrition, water, and carbon dioxide for growing plants. Plant factories are able to produce consistent and high-quality agricultural products within less production space for urban areas. The production systems use less labor, pesticide, water, and nutrition. However, food production of plant factories has many challenges including higher energy demand, energy costs, and installation costs of artificially controlled technologies. In the research, stochastic optimization model and linear complementarity models are formulated to conduct optimal and equilibrium food-energy analysis of plant factory production. A case study of plant factories in the Taiwanese market is presented.

show abstract

Towards user accepted optimal control of greenhouse climate

Cited by 70 publications

References 19 publications

A Design Science Approach to Interactive Greenhouse Climate Control Using Lego Mindstorms for Sensor-Intensive Prototyping

A Design Science Approach to Interactive Greenhouse Climate Control Using Lego Mindstorms for Sensor-Intensive Prototyping

Controle automatizado de casas de vegetação: variáveis climáticas e fertigação

Food-Energy Interactive Tradeoff Analysis of Sustainable Urban Plant Factory Production Systems

Contact Info

Product

Resources

About