Citas bibligráficas
Durán, M., (2018). Caracterización de índice de estrés hídrico del cultivo de arroz mediante el uso de sensores térmicos y de humedad del suelo en La Molina, Lima-Perú [Tesis, Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/3633
Durán, M., Caracterización de índice de estrés hídrico del cultivo de arroz mediante el uso de sensores térmicos y de humedad del suelo en La Molina, Lima-Perú [Tesis]. : Universidad Nacional Agraria La Molina; 2018. https://hdl.handle.net/20.500.12996/3633
@misc{renati/247342,
title = "Caracterización de índice de estrés hídrico del cultivo de arroz mediante el uso de sensores térmicos y de humedad del suelo en La Molina, Lima-Perú",
author = "Durán Gómez, Moisés Rodrigo",
publisher = "Universidad Nacional Agraria La Molina",
year = "2018"
}
The accelerated population growth and the increase of the demand for food, has led in the last decades to a progressive expansion of the cultivation areas, causing a greater consumption of water resources in the agricultural sector. Given this paradigm, the current trend revolves around searching for new technologies and appropriate ways to produce food using and taking advantage of available resources, but with a high degree of efficiency making it sustainable. Therefore, the present study estimated the crop water stress index (CWSI) from thermal images of the canopy obtained by termal sensors (FLIR thermal camera and thermocouples), with the objective of correlating with the volumetric moisture of the soil, under a system of drip irrigation in La Molina, in the agricultural campaign from February to August 2017. Algorithms were developed for the alignment and calibration of the thermal images with the vegetation cover (canopy) in the thermal infrared (TIR) and visible range (VIS), reaching the pure canopy pixels by using the superposition of images method and foliar temperatura thresholds method. In addition, volumetric soil moisture was monitored in real time from frequency domain reflectometry (FDR) sensors installed at 15 cm and 30 cm deep in the soil. The CWSI was correlated with leaf temperature (Tleaf) adjusted to local atmospheric conditions [Tleafl-Twet] / [Tdry-Twet], where Twet is the minimum wáter stress temperature (maximum transpiration without disturbance, stomata fully open) and Tdry is the maximum water stress temperature (leaf that does not perspire, closed stomata). Thus, the wet and dry threshold temperatures were obtained, with values of 15.2ºC to 33.7ºC and 15.4ºC to 36ºC in the reproductive and maturation phases, respectively. Finally, CWSI values were obtained, varying from 0 to 1, and were statistically correlated with soil volumetric moisture by Pearson coefficients, for a level of 5%of significance, which reached values of -0.53 to 30 cm of soil depth. Concluding that the use of the crop water stress index (CWSI) is feasible to use for the estimation of soil moisture volume of the crop, and in the future, it will be useful for irrigation scheduling in real time employing remote sensors.
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