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A cooperative scheme for late leaf spot estimation in peanut using UAV multispectral images

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Shahi, T. B., Xu, C.-Y., Neupane, A., Fresser, D., O’Connor, D., Wright, G. and Guo, W. (2023) A cooperative scheme for late leaf spot estimation in peanut using UAV multispectral images. PLOS ONE, 18 (3). e0282486. https://doi.org/10.1371/journal.pone.0282486

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Article Link: https://doi.org/10.1371/journal.pone.0282486

Abstract

In Australia, peanuts are mainly grown in Queensland with tropical and subtropical climates. The most common foliar disease that poses a severe threat to quality peanut production is late leaf spot (LLS). Unmanned aerial vehicles (UAVs) have been widely investigated for various plant trait estimations. The existing works on UAV-based remote sensing have achieved promising results for crop disease estimation using a mean or a threshold value to represent the plot-level image data, but these methods might be insufficient to capture the distribution of pixels within a plot. This study proposes two new methods, namely measurement index (MI) and coefficient of variation (CV), for LLS disease estimation on peanuts. We first investigated the relationship between the UAV-based multispectral vegetation indices (VIs) and the LLS disease scores at the late growth stages of peanuts. We then compared the performances of the proposed MI and CV-based methods with the threshold and mean-based methods for LLS disease estimation. The results showed that the MI-based method achieved the highest coefficient of determination and the lowest error for five of the six chosen VIs whereas the CV-based method performed the best for simple ratio (SR) index among the four methods. By considering the strengths and weaknesses of each method, we finally proposed a cooperative scheme based on the MI, the CV and the mean-based methods for automatic disease estimation, demonstrated by applying this scheme to the LLS estimation in peanuts.

Item Type:Article
Corporate Creators:Department of Agriculture and Fisheries, Queensland
Business groups:Crop and Food Science
Keywords:Peanut; tropical climates; foliar diseases; Unmanned aerial vehicles; late leaf spot
Subjects:Plant culture > Fruit and fruit culture > Nuts
Plant pests and diseases
Technology > Technology (General) > Spectroscopy
Live Archive:13 Apr 2023 03:19
Last Modified:21 Aug 2025 01:45

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