The Effects of Applying Natural Plant Antifreeze Under Low Temperature Conditions on Lettuce (Lactuca Sativa L.) Yield and Quality

Pirinç, Vedat; Alas, E.

doi:10.15666/aeer/1904_29632970

Cited by 1 publication

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“…Frost can damage the outer leaves of mature lettuce, leading to decay in handling and storage( Turini et al., 2011 ). As a result, low temperature is one of the most important factors threatening to supply lettuce in winter ( Pirinc and Alas, 2021 ). Under harsh environmental conditions, crop yields can be lost ranging from 50% to 70%( Francini and Sebastiani, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Estimating the frost damage index in lettuce using UAV-based RGB and multispectral images

Liu,

Ban,

Wei

et al. 2024

Front. Plant Sci.

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IntroductionThe cold stress is one of the most important factors for affecting production throughout year, so effectively evaluating frost damage is great significant to the determination of the frost tolerance in lettuce.MethodsWe proposed a high-throughput method to estimate lettuce FDI based on remote sensing. Red-Green-Blue (RGB) and multispectral images of open-field lettuce suffered from frost damage were captured by Unmanned Aerial Vehicle platform. Pearson correlation analysis was employed to select FDI-sensitive features from RGB and multispectral images. Then the models were established for different FDI-sensitive features based on sensor types and different groups according to lettuce colors using multiple linear regression, support vector machine and neural network algorithms, respectively.Results and discussionDigital number of blue and red channels, spectral reflectance at blue, red and near-infrared bands as well as six vegetation indexes (VIs) were found to be significantly related to the FDI of all lettuce groups. The high sensitivity of four modified VIs to frost damage of all lettuce groups was confirmed. The average accuracy of models were improved by 3% to 14% through a combination of multisource features. Color of lettuce had a certain impact on the monitoring of frost damage by FDI prediction models, because the accuracy of models based on green lettuce group were generally higher. The MULTISURCE-GREEN-NN model with R2 of 0.715 and RMSE of 0.014 had the best performance, providing a high-throughput and efficient technical tool for frost damage investigation which will assist the identification of cold-resistant green lettuce germplasm and related breeding.

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Section: Introductionmentioning

confidence: 99%