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Wireless sensor network to map the meteorological variability in a greenhouse with evaporative cooling

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Author(s):
Zorzeto, T. Q. ; Leal, P. A. M. ; Tijskens, P
Total Authors: 3
Document type: Journal article
Source: V INTERNATIONAL SYMPOSIUM ON APPLICATIONS OF MODELLING AS AN INNOVATIVE TECHNOLOGY IN THE HORTICULTURAL SUPPLY CHAIN - MODEL-IT 2015; v. 1154, p. 8-pg., 2017-01-01.
Abstract

Despite the potential of a heterogeneous distribution of temperature and relative humidity (RH) of air along the greenhouse, the common practice is to install one sensor at a fixed point, assumed it to be representative of the entire environment, and that this information can be used for control of the greenhouse. Focusing on quantity and quality of data collected in the field, especially exploring spatial variations, is necessary to develop and validate system models in protected environments based on real conditions. This study aimed to characterize and map the horizontal and vertical variabilities of temperature and RH of air in a greenhouse with evaporative cooling. We carried out the experiment in a greenhouse with a wireless sensor network, at the College of Agricultural Engineering (FEAGRI/UNICAMP), in Sao Paulo (Brazil) (22 degrees 49'06"S 47 degrees 03'40"W, 635 m a.s.l.). Evaporative cooling associated with fixed shading was more effective in reducing the temperature and increasing the RH of air (-7.55 degrees C and 47%), and also featured the most heterogeneous vertical gradient (14.31 degrees C and -58%) and horizontal variability (0.84 degrees C near the fan and 1.23 degrees C and 5% close to the pad). The association of a zenithal window with evaporative cooling and mechanical ventilation affects the efficiency of the systems and, despite reducing thereby the vertical differences (2.86 degrees C and -15%), maintains the horizontal heterogeneity (1.17 degrees C and -7% near the exhauster). (AU)

FAPESP's process: 13/11953-9 - Meteorological mapping in a greenhouse with different structures and systems
Grantee:Paulo Ademar Martins Leal
Support Opportunities: Regular Research Grants