Abstract

The goal of this research is to use a WORKSWELL WIRIS AGRO R INFRARED CAMERA (WWARIC) to assess the crop water stress index (CWSIW) 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 (CWSIIdso). 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 CWSIIdso and CWSIW proved a strong correlation in estimating the crop water status at R2 above 0.60 at each growth stage in both soil types. The fruit expansion stage showed the highest correlation at R2 = 0.8363 in sandy loam and R2 = 0.7611 in silt loam. VWC and CWSIW showed a negative relationship with a strong correlation at all the growth stages with R2 values above 0.8 at p < 0.05 in both soil types. Similarly, the CWSIW and yield also showed a negative relationship and a strong correlation with R2 values above 0.95, which indicated that increasing the CWSIW 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 CWSIW. The highest mean marketable yield was obtained in sandy loam soil at 70–100% FC (0.0 < CWSIW ≤ 0.25), while the least-marketable yield was obtained in silty loam soil 40–50% FC (0.75 < CWSIW ≤ 1.0); hence, it is ideal for maintaining the crop water status between 0.0 < CWSIW ≤ 0.25 for the optimum yield. These experimental results proved that the WWARIC effectively assesses the crop water stress index (CWSIW) in tomatoes for mapping the yield and irrigation scheduling.

Highlights

  • IntroductionMost researchers have adopted remote sensing data to substitute the old-style field measurements of the plant water status for estimating crop water stress

  • This study offers an advancement towards applying a WORKSWELL WIRIS AGRO R

  • A novel WORKSWELL WIRIS AGRO R INFRARED CAMERA, a new Crop Water Stress Index (CWSI) camera designed based on environmental and crop data that requires no meteorological data for effectively acquiring digital CWSI, and 3D images at the same time were used for estimating the water stress in tomatoes

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Summary

Introduction

Most researchers have adopted remote sensing data to substitute the old-style field measurements of the plant water status for estimating crop water stress. This provides information on the spatial and temporal variabilities of crops. Matese et al, 2018 [20] reported that the RS information obtained from a plant canopy by a high-resolution thermal infrared camera has numerous spatial and temporal resolutions at a few distances above the plant This can provide timely and essential information for estimating the crop water status. According to Chen et al, 2005, Jackson, 1982, and Jackson et al, 2004 [14,21,22], the CWSI being a standardized indicator of water stress in soils and plants based on thermal reflectance have frequently been utilized to evaluate the water status in countless numbers of vegetations from forest plants to vegetable plants as in grapevines [20], wheat [23,24,25], tomatoes (Zhang et al, 2017) [1], maize

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