Current situation and challenges of agriculture in Taiwan

The agriculture industry is continuously facingthe pressure of climate change, aging rural population, labor shortage, and growing demand for food.

Mapping out the Future of Smart Agriculture

Better working environment for agricultural workers. More efficient agricultural production models. A new agricultural era of efficiency, safety and low risk.


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.
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.
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
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
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.
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