Projects

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2020-05-20
A mobile application is introduced for lettuce industry under the smart agriculture project, offered for farmers on field management record keeping. The GIS platform in the system integrates the geospatial information such as soil characteristics, land use/land cover, irrigation channels that provides detail spatial information around the farmlands.
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
2020-03-30
The mushroom cultivation is an important smart agriculture in Taiwan. This study uses the deep learning object detection method to inspect the cap flaws or positional imperfection in the automatic production of the mushroom PP-bag packaging. This study uses the UR robotic arm and integrated 3D vision module, and uses the extra positioning axis to achieve the purpose of multi-positioning inspections by robot arm. Projecting the structured LED light sources to the object to be inspected has the ad
2020-03-05
This project is intended to establish a methodology to build up an analysis module of the microclimate in net-house and compare with the quality and quantity of cut flower production to evaluate the key climate factor.
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.
2020-01-22
In this study, ‘TNG17’ pineapples were placed on walk-in growth chamber at 7.5℃ for 3 and 4 week, and put them back at room temperature for 5 day, respectively. We recorded the internal browning extent and physiological variables such as enzyme activity, sugar and ascorbic acid content at different time point. Results showed that variables with significant effect were polyphenol oxidase, peroxidase, sucrose, glucose and ascorbic acid, and the correspondent regression coefficients were 0.32, -0.1
2019-11-22
The robotic feed pusher is a smart forage-feeding intelligent with a power-saving device had been introduced to Taiwan by Livestock Research Institute in 2017. It has effectively replaces the manpower requirement of 3 to 4 hours per day and increases the eating times and intake of the cows.
2019-11-01
One of the core components of integrated pest management is monitoring. In this work, an automatic insect pest monitoring system is presented. The system can automatically record the number of insect pests trapped in sticky paper traps using a deep learning based image processing algorithm. Through the system, the temporal insect counts were analyzed to show the trend and pattern found from the insect counts that can be used by the farmers for decision-making. Furthermore, the analyzed data are
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