Anthracnose Detection on Walnut Tree Leaves using Outdoor Image Processing Methods
Journal Title: Journal of Agricultural Machinery - Year 2021, Vol 11, Issue 2
Abstract
IntroductionControl of walnut diseases and pests requires the mapping of the extent of contamination within possible shortest time. Therefore, it is necessary to develop systems to detect and determine the prevalence and location of contamination for researchers and gardeners. Image processing has been proposed as an approach to determine the extent and type of damage to different products in farms and gardens. The aim of this study was to design an algorithm based on the processing of walnut leaf images under natural light conditions in order to provide a rapid and non-destructive detection of diseases for the protection of trees using imaging methods. In this research, the possibility of detecting Anthracnose disease was investigated by processing walnut leaf images. The disease was detected using in situ images taken from the leaves to provide the basis for designing application software on smart mechatronic systems. Materials and MethodsImages of leaves on walnut trees were taken under outdoor light conditions. Color and morphological properties extracted from the images were used to detect the pest on the leaves. Gnomonia leptostyla disease diagnostic algorithm was based on process of color and morphological characteristics, leaves background and disease-stained spots. The range of changes in R, G, and B indices was obtained in histograms and then two-dimensional spaces were analyzed statistically on GR, GB, and BR planes. All points from these regions were used as statistical samples, for which bivariate regressions of GR, GB, and BR were obtained as y = b0 + b1x. Segments containing anthracnose spots from the leaves were segregated by extracting the coordinates of the points in each side on the RGB color space cube. Finally, anthracnose content was detected based on the number of spots detected by the algorithms. The percentage of contamination was used to determine the amount of contamination in each imaged area.Results and DiscussionExamination of the colored spaces indicated that the domain of the anthracnose color components on the GR side has nothing in common with the color components of the leaves. The analysis of color space data revealed that the leaves and anthracnose were more distinguishable on the GB and RB sides, respectively. According to the histogram of the HSV color space, anthracnose spots were isolated from the leaves by determining the H range. In the evaluation of the proposed method for diagnosis of anthracnose, the infection severity calculated by the algorithm with the true infection intensity. T-test results for comparing the mean of the two infection intensity samples showed no significant differences between the two groups at 1% probability level. ConclusionThe evaluation of the proposed method showed a 98% segregation accuracy for G. leptostyla detection method. Based on the results, the proposed method for detecting anthracnose spots is suitable for determining the contamination severity in the imaged areas.
Authors and Affiliations
A. Yousefvand,J. Amiri Parian,
Keywords
Related Articles
- EP ID EP717986
- DOI https://doi.org/10.22067/jam.v11i2.82558
- Views 57
- Downloads 0
Creation Greenhouse Environment Map Using Localization of Edge of Cultivation Platforms Based on Stereo Vision
Introduction Stereo vision means the capability of extracting the depth based on analysis of two images taken from different angles of one scene. The result of stereo vision is a collection of three-dimensional points wh...
Evaluation of Technical and Yield Parameters of Wheat Seeding Methods with Different Seeding Rates in south Khuzestan
This study was conducted during two years (2007-2009) in Shawoor Agricultural Research Station on a silty-clay soil. Experiment conducted in split plots in a Randomized Complete Blocks Design in three replications. Main...
Evaluation of the Specific Fuel Costs for Combination of Diesel Fuel- Biodiesel -Bioethanol in a Diesel Engine
 Introduction The researchers have been currently focused on replacing fossil fuels by biofuels to reduce dependence on fossil fuels. Biofuels provide low greenhouse emissions with the reduction of oil import. The bio...
Investigation of Kinetics and Energy Consumption of Thin Layer Drying of Corn
In this study thin layer drying of corn in a convective dryer was investigated at air temperatures of 50, 60 and 70ºC and air flow rates of 1, 1.4 and 1.8 kg min-1. Experiments were performed in Completely Randomized De...
Balancing Time and Cost in Resource-Constrained Project Scheduling Using Meta-Heuristic Approach
IntroductionAgricultural production involves a series of tasks including tillage, planting, and harvesting, which must be done at the right time for each region and type of product. Failing to complete these tasks on tim...