Ground-Based Thermal Imaging for Assessing Crop Water Status in Grapevines over a Growing Season

Zheng Zhou; Geraldine Diverres; Chenchen Kang; Sushma Thapa; Manoj Karkee; Qin Zhang; Markus Keller

doi:10.3390/agronomy12020322

Agronomy (Jan 2022)

Ground-Based Thermal Imaging for Assessing Crop Water Status in Grapevines over a Growing Season

Zheng Zhou,
Geraldine Diverres,
Chenchen Kang,
Sushma Thapa,
Manoj Karkee,
Qin Zhang,
Markus Keller

Affiliations

Zheng Zhou: College of Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China
Geraldine Diverres: Irrigated Agriculture Research and Extension Center, Department of Horticulture, Washington State University, Prosser, WA 99350, USA
Chenchen Kang: Center for Precision and Automated Agricultural Systems, Department of Biological Systems Engineering, Washington State University, Prosser, WA 99350, USA
Sushma Thapa: Center for Precision and Automated Agricultural Systems, Department of Biological Systems Engineering, Washington State University, Prosser, WA 99350, USA
Manoj Karkee: Center for Precision and Automated Agricultural Systems, Department of Biological Systems Engineering, Washington State University, Prosser, WA 99350, USA
Qin Zhang: Center for Precision and Automated Agricultural Systems, Department of Biological Systems Engineering, Washington State University, Prosser, WA 99350, USA
Markus Keller: Irrigated Agriculture Research and Extension Center, Department of Horticulture, Washington State University, Prosser, WA 99350, USA

DOI: https://doi.org/10.3390/agronomy12020322
Journal volume & issue: Vol. 12, no. 2
p. 322

Abstract

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The quality of wine grapes in dry climates greatly depends on utilizing optimal amounts of irrigation water during the growing season. Robust and accurate techniques are essential for assessing crop water status in grapevines so that both over-irrigation and excessive water deficits can be avoided. This study proposes a robust strategy to assess crop water status in grapevines. Experiments were performed on Riesling grapevines (Vitis vinfera L.) planted in rows oriented north–south and subjected to three irrigation regimes in a vineyard maintained at an experimental farm in southeastern Washington, USA. Thermal and red–green–blue (RGB) images were acquired during the growing season, using a thermal imaging sensor and digital camera installed on a ground-based platform such that both cameras were oriented orthogonally to the crop canopy. A custom-developed algorithm was created to automatically derive canopy temperature (Tc) and calculate crop water stress index (CWSI) from the acquired thermal-RGB images. The relationship between leaf water potential (Ψleaf) and CWSI was investigated. The results revealed that the proposed algorithm combining thermal and RGB images to determine CWSI can be used for assessing crop water status of grapevines. There was a correlation between CWSI and Ψleaf with an R-squared value of 0.67 for the measurements in the growing season. It was also found that CWSI from the shaded (east) side of the canopy achieved a better correlation with Ψleaf compared to that from the sunlit (west) side around solar noon. The created algorithm allowed real-time assessment of crop water status in commercial vineyards and may be used in decision support systems for grapevine irrigation management.

Published in Agronomy

ISSN: 2073-4395 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Agriculture
Website: http://www.mdpi.com/journal/agronomy

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