The Development of a Defect Detection Model from the High-Resolution Images of a Sugarcane Plantation Using an Unmanned Aerial Vehicle

Abstract

This article presents a defect detection model of sugarcane plantation images. The objective is to assess the defect areas occurring in the sugarcane plantation before the harvesting seasons. The defect areas in the sugarcane are usually caused by storms and weeds. This defect detection algorithm uses high-resolution sugarcane plantations and image processing techniques. The algorithm for defect detection consists of four processes: (1) data collection, (2) image preprocessing, (3) defect detection model creation, and (4) application program creation. For feature extraction, the researchers used image segmentation and convolution filtering by 13 masks together with mean and standard deviation. The feature extraction methods generated 26 features. The K-nearest neighbors algorithm was selected to develop a model for the classification of the sugarcane areas. The color selection method was also chosen to detect defect areas. The results show that the model can recognize and classify the characteristics of the objects in sugarcane plantation images with an accuracy of 96.75%. After the comparison with the expert surveyor’s assessment, the accurate relevance obtained was 92.95%. Therefore, the proposed model can be used as a tool to calculate the percentage of defect areas and solve the problem of evaluating errors of yields in the future.

Risk factors associated with heat-related illness among sugarcane farmers in Thailand

“…This study was conducted in Kamphaeng Phet Province, Thailand’s main sugarcane-growing province 18 ) from 15 March to 11 April in 2021. Participants in this study included 200 sugarcane farmers who worked during the growing season.…”

“…Heat-related illness symptoms (outcome variable) include weakness/fatigue, dizziness, muscle cramps, heavy sweating, vertigo, nausea, vomiting, headache, fainting, and irritability 28 ) . If a participant reported “ever” having two or more symptoms with heavy sweating or dizziness 18 , 29 ) , they were defined as having heat-related illness in this study.…”

“…In the same way, studies are limited regarding the potential risk factors of heat-related illness in farmers, such as personal risk factors, clothing, rest, acclimatization, and education 18) . Therefore, in the present study, we focused on personal risk factors and clothing associated with heat-related illness symptoms experienced by sugarcane farmers during the summer while working in Kamphaeng Phet Province, Thailand.…”

Developing a Colorimetric Equation and a Colorimetric Model to Create a Smartphone Application That Identifies the Ripening Stage of Lady Finger Bananas in Thailand

“…The formula used here for calculating the OB of any image is based on the Minkowski norm formula [28], and it is shown in Equation (2).…”

How Can Unmanned Aerial Vehicles Be Used for Detecting Weeds in Agricultural Fields?

“…Tanut and Riyamongkol [56] Cultivar Investigated the viability of integrating UAV image with satellite images to improve the classification of different pistachio cultivars and separate weeds from trees.…”