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      Rapid Estimation of Crop Water Stress Index on Tomato Growth

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          Abstract

          The goal of this research is to use a WORKSWELL WIRIS AGRO R INFRARED CAMERA (WWARIC) to assess the crop water stress index (CWSI W) on tomato growth in two soil types. This normalized index (CWSI) can map water stress to prevent drought, mapping yield, and irrigation scheduling. The canopy temperature, air temperature, and vapor pressure deficit were measured and used to calculate the empirical value of the CWSI based on the Idso approach (CWSI Idso). The vegetation water content (VWC) was also measured at each growth stage of tomato growth. The research was conducted as a 2 × 4 factorial experiment arranged in a Completely Randomized Block Design. The treatments imposed were two soil types: sandy loam and silt loam, with four water stress treatment levels at 70–100% FC, 60–70% FC, 50–60% FC, and 40–50% FC on the growth of tomatoes to assess the water stress. The results revealed that CWSI Idso and CWSI W proved a strong correlation in estimating the crop water status at R 2 above 0.60 at each growth stage in both soil types. The fruit expansion stage showed the highest correlation at R 2 = 0.8363 in sandy loam and R 2 = 0.7611 in silt loam. VWC and CWSI W showed a negative relationship with a strong correlation at all the growth stages with R 2 values above 0.8 at p < 0.05 in both soil types. Similarly, the CWSI W and yield also showed a negative relationship and a strong correlation with R 2 values above 0.95, which indicated that increasing the CWSI W had a negative effect on the yield. However, the total marketable yield ranged from 2.02 to 6.8 kg plant −1 in sandy loam soil and 1.75 to 5.4 kg plant −1 in silty loam soil from a low to high CWSI W. The highest mean marketable yield was obtained in sandy loam soil at 70–100% FC (0.0 < CWSI W ≤ 0.25), while the least-marketable yield was obtained in silty loam soil 40–50% FC (0.75 < CWSI W ≤ 1.0); hence, it is ideal for maintaining the crop water status between 0.0 < CWSI W ≤ 0.25 for the optimum yield. These experimental results proved that the WWARIC effectively assesses the crop water stress index (CWSI W) in tomatoes for mapping the yield and irrigation scheduling.

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          Most cited references59

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          Canopy temperature as a crop water stress indicator

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            Normalizing the stress-degree-day parameter for environmental variability

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              Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                29 July 2021
                August 2021
                : 21
                : 15
                : 5142
                Affiliations
                [1 ]College of Water Conservancy and Civil Engineering, South China Agriculture University, No. 483, Wushan Road, Tianhe District, Guangzhou 510642, China; kelvinedomalordzinu@ 123456gmail.com (K.E.A.); aasadick07@ 123456gmail.com (S.A.A.); alaaasmi83@ 123456gmail.com (A.A.A.); whao20000904@ 123456gmail.com (H.W.)
                [2 ]College of Engineering, National Center for International Collaboration Research on Precision Agricultural Aviation Pesticides Spraying Technology (NPAAC), South China Agriculture University, No. 483, Wushan Road, Tianhe District, Guangzhou 510642, China; ylan@ 123456scau.edu.cn
                Author notes
                [* ]Correspondence: jhli@ 123456scau.edu.cn
                Author information
                https://orcid.org/0000-0002-6699-8972
                https://orcid.org/0000-0002-7463-6592
                Article
                sensors-21-05142
                10.3390/s21155142
                8347285
                34372375
                ff332a29-339d-4914-be81-311983fd03e3
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 01 July 2021
                : 21 July 2021
                Categories
                Article

                Biomedical engineering
                crop water stress index (cwsi),vegetative water content (vwc),empirical mode,theoretical mode,differential mode,sandy loam and silt loam soils,irrigation scheduling,tomato

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