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2020-09-02
The tobacco cutworm monitoring and pre-warning system was designed with the characteristic of “lure-specificity pheromone attracting target male species”, tobacco cutworm pheromone was placed in an insect trap to attract male tobacco cutworm to enter the pest trap. The number of pest has been counted by an infrared sensor was attached to the connector ring. Through LoRa wireless transmission and 4G mobile telecommunication transmission connected to the Internet, data was sent to the cloud server
2020-08-12
The collection and recording of fish catch information are critical to the sustainable
2020-06-30
The existing watering equipment of Phalaenopsis is used by the controller to determine the position of the potted plants according to the laser reflection level next to the motor, and then the water is sent to the motor to achieve full automatic performance. It can save the manpower burden of watering, and can also reduce the amount of watering to achieve the goal of saving water.
2020-05-05
We develop a monitoring and forewarning system to detect planthoppers in paddy fields. Our detection algorithm consists of two stages. At the first stage, we extract the main paddy in the middle of an image by some traditional image processing techniques. At the second stage, we use a convolutional neural network to detect planthoppers within the extracted region. Our detection model is revised from the Single Shot MultiBox Detector (SSD). The original SSD model usually misrecognizes reflected l
2020-02-10
This research employed ray tracing to design a light-emitting diode (LED) lamp for saury fishing with an optimized light distribution that focus light into a fishing net beside a fishing vessel. In the simulation analysis, the average irradiance of LEDs without the designed lens was 0.83 times the incandescent lamps, whereas the average irradiance of the LEDs with the designed lens was 1.6 times the incandescent lamps. Considering the usage habits of saury fishing boats, the experiment
2020-02-04
This comprehensive report analyzes agricultural performance and productivity trends with data from 1961 to 2015.
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