Correction to: Chickpea leaf water potential estimation from ground and VENµS satellite (Precision Agriculture, (2024), 10.1007/s11119-024-10129-w)

Roy Sadeh, Asaf Avneri, Yaniv Tubul, Ran N. Lati, David J. Bonfil, Zvi Peleg, Ittai Herrmann*

*Corresponding author for this work

Research output: Contribution to journalComment/debate

Abstract

https://doi.org/10.1007/s11119-024-10129-w. In this article, the authors would like to correct the textual errors and typos in Introduction, Methods sections, and Figure Caption. In addition, column alignment issues in Tables 2 and 3 are corrected. The original article has been corrected. In the first paragraph of the “Introduction” section the “” symbol appeared incorrectly or not properly in the 5th line and the last line. It should be “occupies 13.7 million hectares” and “country, 3.6 tons/ha”. In the first paragraph of the “Methods” section, “a” should be “at”. Each irrigation zone was a least 30-m-wide to ensure at least one row of pure pixels per treatment, as dictated by the Vegetation and Environment monitoring on a New Micro-Satellite (VENµS) spatial resolution (5.3 m × 5.3 m). Each irrigation zone was at least 30-m-wde to ensure at least one row of pure pixels per treatment, as dictated by the Vegetation and Environment monitoring on a New Micro-Satellite (VENµS) spatial resolution (5.3 m × 5.3 m)”. In the section of “Physiological traits measurements” the month and date were incorrect in the “Kedama 2020 data”. Kedma 2020 data were acquired on six dates (57, 64, 71, 78, 85, and 92 DAE, emergence occurred on January 13, 2020). “Kedma 2020 data were acquired on six dates (57, 64, 71, 78, 85, and 92 DAE, emergence occurred on February 23, 2020). The year in the last sentence for Gilat in Fig. 1 was incorrect. That is, “Gilat (20,19 and 2022)” should be “Gilat (2019 and 2020)”. Year-sites locations and experimental setup in Gilat 2019, image acquired by Mavic Mini 2 (DJI, Shenzhen, China) on April 29, 2019, Gilat 2020, image acquired by Mavic Mini 2 (DJI, Shenzhen, China) on June 3, 2020, Or HaNer 2019, image acquired by VENµS on April 23, 2019, and Kedma 2020, image acquired by VENµS on May 7, 2020. The yellow lines show the borders of the plots, and colored rectangles symbolize the irrigation treatment. In Gilat (20,19 and 2022), data were acquired around the colored rectangle in the middle bed, while in the commercial fields (Or HaNer 2019 and Kedma 2020) yellow crosses indicate the measurement points. Year-sites locations and experimental setup in Gilat 2019, image acquired by Mavic Mini 2 (DJI, Shenzhen, China) on April 29, 2019, Gilat 2020, image acquired by Mavic Mini 2 (DJI, Shenzhen, China) on June 3, 2020, Or HaNer 2019, image acquired by VENµS on April 23, 2019, and Kedma 2020, image acquired by VENµS on May 7, 2020. The yellow lines show the borders of the plots, and colored rectangles symbolize the irrigation treatment. In Gilat (2019 and 2020), data were acquired around the colored rectangle in the middle bed, while in the commercial fields (Or HaNer 2019 and Kedma 2020) yellow crosses indicate the measurement points”. In the section “Space-borne imagery collection” at the first paragraph the link should be active. This is the actual text from the paper “Four VEN?S spectral bands located at the red-edge spectral region (https://venus.cnes.fr/en/VENUS/index) proved to be important….” In the second paragraph of the first Results section “Temporal pattern of morpho-physiological traits”, the symbol appeared incorrectly or not properly. “ 6, while” and “values were 4.5”. Figure 2 caption is not complete. Part of it is in a format of the main text. Leaf water potential (a) and leaf area index (b) seasonal patterns in Gilat 2019, Gilat 2020, Or. Leaf water potential (a) and leaf area index (b) seasonal patterns in Gilat 2019, Gilat 2020, Or HaNer 2019, and Kedma 2020. Data from each irrigation factor are presented in a different color. Each point represents the average of all samples collected for each treatment on that date, and the bars represent the standard errors. The black dashed arrow marks the date of the first differential irrigation. In Or HaNer 2019, the first irrigation, on 88 DAE, was equal for all treatments, first deferential irrigation was applied on 95 DAE.” Tables 2 and 3 format was incorrect. The correct version of Tables 2 and 3 are given below: Leaf water potential and leaf area index models’ performances based on selected vegetation indices driven from ground and space canopy spectral reflectance Calibration Validation VIs R2 RMSE rRMSE*(%) Slope; Intercept R2 RMSE rRMSE*(%) Slope; Intercept WI 0.28 0.19 9.80% 0.29; -1.11 0.25 0.21 11.10% 0.28; -1.10 G PRI 0.37 0.19 9.80% 0.48; -0.78 0.34 0.2 10.60% 0.45; 0.82 NDSI(1600,1730) 0.61 0.18 9.30% 0.57; -0.66 0.6 0.19 10.10% 0.55; -0.71 S NDRE 0.24 0.24 12.40% 0.34; -0.96 0.3 0.29 15.30% 0.32; -0.99 REIP 0.29 0.22 11.30% 0.21; -1.17 0.32 0.23 12.20% 0.23; -1.14 FWBI 0.77 0.74 9.10% 0.76; 0.78 0.65 0.97 13.70% 0.74; 0.83 G WI 0.71 0.87 10.80% 0.76; 0.78 0.65 0.97 13.70% 0.74; 0.83 MSI 0.53 0.84 10.40% 0.61; 1.32 0.68 0.73 10.30% 0.61; 1.33 S REIP 0.45 0.86 10.60% 0.44; 2.70 0.5 0.81 11.50% 0.41; 3.06 NDRE 0.59 0.83 10.30% 0.17; 2.04 0.61 0.78 11.00% 0.20; 2.45 G: ground spectral; S: satellite spectral data * Ranges used to calculate rRMSE are shown in Supplementary Table S3 Leaf water potential and leaf area index assessment by machine learning methods based on ground and space spectral image Calibration Validation Method R2 RMSE rRMSE*(%) Slope; Intercept R2 RMSE rRMSE*(%) Slope; Intercept PLS-R 0.68 0.17 8.8% 0.68; -0.50 0.65 0.18 9.5% 0.66; -0.54 G SVM 0.78 0.14 7.2% 0.76; -0.37 0.71 0.16 8.5% 0.73; -0.42 ANN 0.81 0.13 6.7% 0.78; -0.34 0.72 0.15 7.8% 0.76; − 0.38 PLS-R 0.65 0.22 11.3% 0.65; -0.51 0.58 0.23 12.2% 0.63; -0.54 S SVM 0.63 0.24 12.4% 0.54; -0.71 0.60 0.23 12.2% 0.52; -0.72 ANN 0.85 0.14 7.2% 0.85; -0.21 0.79 0.17 9.0% 0.86; -0.20 PLS-R 0.88 0.60 7.4% 0.87; 0.48 0.85 0.66 9.3% 0.85; 0.54 G SVM 0.84 0.70 8.7% 0.83; 0.65 0.78 0.83 11.7% 0.79; 0.78 ANN 0.88 0.62 7.7% 0.89; 0.43 0.86 0.67 9.5% 0.84; 0.65 PLS-R 0.73 0.83 10.3% 0.73; 1.31 0.62 0.95 13.4% 0.67; 1.70 S SVM 0.70 0.89 11.0% 0.62; 1.65 0.60 0.97 13.7% 0.59; 1.97 ANN 0.77 0.76 9.4% 0.79; 1.01 0.69 0.88 12.4% 0.78; 1.20 G: ground spectral; S: satellite spectral data * Ranges used to calculate rRMSE are shown in Supplementary Table S3.

Original languageAmerican English
JournalPrecision Agriculture
DOIs
StateAccepted/In press - 2024

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© Springer Science+Business Media, LLC, part of Springer Nature 2024.

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