ABSTRACT
The prevention of the loss of agricultural resources caused by pests is an important issue. Advances are being made in technologies, but current farm management methods and equipment have not yet met the level required for precise pest control, and most rely on manual management by professional workers. Hence, a pest detection system based on deep learning was developed for the automatic pest density measurement. In the proposed system, an image capture device for pheromone traps was developed to solve nonuniform shooting distance and the reflection of the outer vinyl of the trap while capturing the images. Since the black pine bast scale pest is small, pheromone traps are captured as several subimages and they are used for training the deep learning model. Finally, they are integrated by an image stitching algorithm to form an entire trap image. These processes are managed with the developed smartphone application. The deep learning model detects the pests in the image. The experimental results indicate that the model achieves an F1 score of 0.90 and mAP of 94.7% and suggest that a deep learning model based on object detection can be used for quick and automatic detection of pests attracted to pheromone traps.
ABSTRACT
BACKGROUND: Medico-legal autopsies are conducted as a part of necessary investigation in all unnatural deaths. In India, the awareness about medico-legal autopsies among the population is still at incipient stage. The procedure is largely stigmatised due to various myths and misconceptions. Apprehension about the procedure brings about various emotional reactions of relatives. Hence the study was carried out to know those myths and misconceptions. OBJECTIVES: To find out the various myths and misconceptions about the medico-legal autopsies among the people. To make a lay person aware of the importance of medico-legal autopsies. METHODS: This is a descriptive cross sectional study conducted in central part of Tamilnadu, India. About 600 participants of age 18 to 80 years were included. Their responses were obtained by semistructured questionnaires. RESULT: There is a significant difference noted on various views among this population. INTERPRETATION: Administration should strive to rescind these misapprehensions and myths. The medical staff, mass and electronic media should also come forward to educate them. CONCLUSION: Stipulation of health education about the medico-legal autopsies is must for a lay person.
