Software for the automatic control of irrigation using weighing-drainage lysimeters

Vera-Repullo, J.A.; Ruíz-Peñalver, L.; Jiménez-Buendía, Manuel; Rosillo, J.J.; Molina-Martínez, José Miguel

doi:10.1016/j.agwat.2014.10.021

Cited by 30 publications

(24 citation statements)

References 28 publications

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“…However, plants' dynamic responses to the environment (hourly to seasonally) are extremely hard to capture using manual physiological apparatuses. Weighing lysimeters (gravimetric systems) have been reported to be highly accurate in following changes in plant weight (Vera-Repullo et al, 2015) and have been widely used for many years as a tool for irrigation applications due to their accurate detection of plant water-loss rates, soil water content (SWC), plant water use, and simulation of drought stress (Earl, 2003;Pereyra-Irujo et al, 2012). The current study presents a different approach, which makes use of the gravimetric system combined with soil and atmospheric probes for a high-resolution, high-throughput diagnostic-screening platform, to: (i) select plants with desired physiological traits, and (ii) study whole-plant water relations and biomass gain.…”

Section: Introductionmentioning

confidence: 99%

High‐throughput physiological phenotyping and screening system for the characterization of plant–environment interactions

et al. 2017

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We present a simple and effective high-throughput experimental platform for simultaneous and continuous monitoring of water relations in the soil-plant-atmosphere continuum of numerous plants under dynamic environmental conditions. This system provides a simultaneously measured, detailed physiological response profile for each plant in the array, over time periods ranging from a few minutes to the entire growing season, under normal, stress and recovery conditions and at any phenological stage. Three probes for each pot in the array and a specially designed algorithm enable detailed water-relations characterization of whole-plant transpiration, biomass gain, stomatal conductance and root flux. They also enable quantitative calculation of the whole plant water-use efficiency and relative water content at high resolution under dynamic soil and atmospheric conditions. The system has no moving parts and can fit into many growing environments. A screening of 65 introgression lines of a wild tomato species (Solanum pennellii) crossed with cultivated tomato (S. lycopersicum), using our system and conventional gas-exchange tools, confirmed the accuracy of the system as well as its diagnostic capabilities. The use of this high-throughput diagnostic screening method is discussed in light of the gaps in our understanding of the genetic regulation of whole-plant performance, particularly under abiotic stress.

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Section: Introductionmentioning

confidence: 99%

High‐throughput physiological phenotyping and screening system for the characterization of plant–environment interactions

et al. 2017

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“…Plant transpiration rate of CA, T1 and CB, T1 was directly monitored by a lysimeter unit consisting of a load cell suspended from the greenhouse structure (Model 9363; Vishay Precision Group, Malvern, USA; capacity of 50 Kg, ±0.02 g) to a plant supporting system with a growing media of two plants in each treatment ( Figure 2), following Beeson et al [34]. The crop transpiration rate was assumed to be equal to the weight loss, as measured by the electronic balance [35]. Additionally, a simplified water balance model was applied as an indirect method to estimate crop transpiration, by using measurements of the quantity of water supplied to the plants and water collected in each treatment by the drainage system [36].…”

Section: Data Recorded Sampling and Measurementsmentioning

confidence: 99%

Effects of Cooling Systems on Greenhouse Microclimate and Cucumber Growth under Mediterranean Climatic Conditions

et al. 2019

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Two experiments were conducted in different cropping seasons under Mediterranean climatic conditions to investigate the impact of two cooling systems (fan-pad evaporative as opposed to fan ventilation) on greenhouse microclimate and soilless cucumber growth. The second objective of the experiment was to determine the most appropriate irrigation regime (between 0.24 and 0.32 L m−2) in relation to crop water uptake and greenhouse fertigation effluents. The use of a fan ventilation system enhanced the vapor pressure deficit; thus, the crop transpiration improved by 60% in relation to the transpiration rates of plants grown under the fan-pad system. Higher transpiration rates alleviated the heat load as the external–inside greenhouse air differences declined from 6.2 °C to 3 °C. The leaf–air temperature differential indicated that plants were not facing any water stress conditions for both cooling systems tested; however, fan ventilation reduced drainage emissions outflows (95% decrease) compared with evaporative cooling. Results also demonstrated that an irrigation regime of 0.24 L m−2 can be applied successfully in soilless cucumber crops, keeping the drainage to a minimum (20% of the nutrient solution supply). These results suggest that fan ventilation cooling system in conjugation with an appropriate irrigation regime prevents overheating and minimizes the nutrient and water losses in spring-grown soilless cucumber crops in Mediterranean greenhouses without compromising yield.

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“…Outros trabalhos que, de forma geral utilizaram sensores de temperatura e que implementaram algum tipo de inteligência, focaram em aplicações diversas. [Vera-Repullo et al 2015] utilizou sensores para capturar informações de temperatura, umidade e solo. A partir de tais informações, aplicou regras pré-definidas para controlar a quantidade e duração da irrigação de vegetais.…”

Section: Trabalhos Relacionadosunclassified

Rede de Sensores para Controle Inteligente de Ambientes

Silva¹,

Xavier-Júnior²,

Silva³

2016

Anais Do VIII Simpósio Brasileiro De Computação Ubíqua E Pervasiva (SBCUP 2016)

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Laboratórios são ambientes que necessitam ser controlados, principalmente devido ao fato de que nesses ambientes são realizados processos químicos. Controlar a temperatura e a umidade relativa do ar é tarefa primordial para que os processos desenvolvidos dentro de tais laboratórios possam ser repetidos dentro dos parâmetros exigidos. Buscando propor mecanismos de controle para ambientes, neste artigo, apresentamos um sistema baseado em rede de sensores e classificação de padrões para controle inteligente de ambientes. Nosso protótipo utiliza as informações gerados pelos sensores para tomar decisões relativas ao controle constante da temperatura e da umidade relativa do ar.

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Software for the automatic control of irrigation using weighing-drainage lysimeters

Cited by 30 publications

References 28 publications

High‐throughput physiological phenotyping and screening system for the characterization of plant–environment interactions

High‐throughput physiological phenotyping and screening system for the characterization of plant–environment interactions

Effects of Cooling Systems on Greenhouse Microclimate and Cucumber Growth under Mediterranean Climatic Conditions

Rede de Sensores para Controle Inteligente de Ambientes

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