• Journal of Drive and Control
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• v.21 no.2
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• pp.53-64
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• 2024

Global population growth has resulted in an increased demand for food production. Simultaneously, aging rural communities have led to a decrease in the workforce, thereby increasing the demand for automation in agriculture. Drones are particularly useful for unmanned pest control fields. However, the current method of uniform spraying leads to environmental damage due to overuse of pesticides and drift by wind. To address this issue, it is necessary to enhance spraying performance through precise performance evaluation. Therefore, as a foundational study aimed at optimizing drone-based pest control technologies, this research evaluated water-sensitive paper (WSP) via density map estimation using convolutional neural networks (CNN) with a encoder-decoder structure. To achieve more accurate estimation, this study implemented multi-task learning, incorporating an additional classifier for image segmentation alongside the density map estimation classifier. The proposed model in this study resulted in a R-squared (R²) of 0.976 for coverage area in the evaluation data set, demonstrating satisfactory performance in evaluating WSP at various density levels. Further research is needed to improve the accuracy of spray result estimations and develop a real-time assessment technology in the field.

• Journal of Conservation Science
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• v.16 s.16
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• pp.77-88
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• 2004

This study evaluates the occurrences, phyfical weathering and biological deterioration on rock properties during the dissection process an object of stone pagoda in the Mireuksaji temple site. For restoration and conservation, all kinds of rock properties are carried out detailed scientific investigation and diagnosis. Constituting rocks of the pagoda composed mainly of equi-granular medium grained biotite that rock properties presumed to be use about 3,000 materials. Main external properties of the pagoda are total 446 materials, and the rock properties under the concentration load on the each floors occurred with overlapping fracture, weathering and deteriorations. The 84 materials show highly degraded about $18.8\%$ among the external properties. Representative physicochemical deteriorations are fracture, loss, break, exfoliation, degradation, grain shaped dissolution, relief surface, discoloration and hydroxide precipitates, in this study, the deterioration state of each properties give a precisely description and analysis. Coverage of lichen and algae on the rock surface represented about $85\%$. As the some properties, biological contaminants withered up when spray rock surface with diluted cleaning chemicals. Results of the study are utilized an application for restoration system and detailed investigation during the dissection process of stone cultural properties.