Automating reference temperature measurements for crop water stress index calculations: A case study on grapevines

•Two new automatic models for estimating reference temperatures are proposed.•Only conventional weather station data are needed for the proposed models.•Heat transfer and empirical models were well correlated with the field measurements.•The proposed models can provide accurate reference temperature...

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Veröffentlicht in:Computers and electronics in agriculture 2022-11, Vol.202, p.107329, Article 107329
Hauptverfasser: Luus, Jaco, Els, Danie, Poblete-Echeverría, Carlos
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Sprache:eng
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Zusammenfassung:•Two new automatic models for estimating reference temperatures are proposed.•Only conventional weather station data are needed for the proposed models.•Heat transfer and empirical models were well correlated with the field measurements.•The proposed models can provide accurate reference temperature values. The use of temperature as an indicator of water stress is gaining attention in agriculture. However, the need for reference temperature measurements in the field (Twet and Tdry) for normalization purposes (calculation of the crop water stress index - CWSI) inhibits the practical implementation of this technique. Therefore, in this study, two new models namely the heat transfer (HT) model and the empirical (EMP) model, are presented and compared with the standard method of physical reference temperature measurements and leaf energy balance calculation as an exploratory case study on grapevines. The HT model is a novel method, based on physical heat transfer principles and uses only input data obtained from a conventional weather station to determine reference temperatures. The EMP model is a simple method based on wet- and dry-bulb temperatures, calculated from ambient temperature and relative humidity measurements. To develop and evaluate the new models, physical measurements of the reference temperatures were taken in a commercial vineyard cv. Cabernet Sauvignon under different levels of water stress at two times during the day on seven days over the growing season. These physical measurements were used to optimize unknown parameters in the new methods by using the particle swarm optimization procedure. Input data for the model was collected by a conventional weather station located nearby the experimental vineyard block. In the validation process, it was found that the HT model can accurately predict the reference temperatures to within 0.5 °C and 1.0 °C for Twet and Tdry, respectively, reacting to environmental conditions as expected. The EMP model, requiring even less meteorological information, can accurately predict the reference temperatures to within 0.8 °C and 1.4 °C for Twet and Tdry, respectively. These proposed methods can provide reference temperatures that do not require physical measurements which can make the use of CWSI more practical and easier to implement for determining plant water stress in vineyards.
ISSN:0168-1699
1872-7107
DOI:10.1016/j.compag.2022.107329