Analysis of water stress in a bean crop using multispectral imaging and soil moisture sensors
DOI:
https://doi.org/10.19136/era.a13n1.4279Keywords:
Water management, remote sensor, irrigation optimization, irrigation systems and agricultural technologyAbstract
The objective of this study was to analyze three index and two reflectance bands obtained with multispectral images captured by drones, to evaluate the degree of stress of a bean crop (Phaseolus vulgaris L.), under three levels of soil moisture tension and two positions of the drip irrigation tape (surface and buried). The results of the study showed that the Normalized Difference Water Index (NDWI) and the reflectance in the red-edge band (RE) had a better relationship with the moisture content resulting in high significant differences of more moisture content in treatment of buried drip irrigation tape and in the treatments of lower moisture tension. With the Normalized Difference
Red Edge Index (NDRE), higher chlorophyll content (lower stress level) was detected in plants irrigated with the buried irrigation tape, for the treatments of lower water tension, a higher NDRE index represents a higher water content. With the Triangular Greenness Index (TGI), only was detected significant differences in the plant vigor (chlorophyll content
of the leaves) in the water tensions of 30 kPa and 50 kPa based on the position of the tape or the difference between 20 kPa and 50 kPa of soil moisture tension. By analyzing the values of reflectance in the red band (R), a higher water stress
was detected in the treatment of plants irrigated with the tape on the surface, but no differences in chlorophyll content of the leaves of plants were detected at tensions of 20 kPa and 50 kPa.
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