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 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
This comprehensive report analyzes agricultural performance and productivity trends with data from 1961 to 2015.
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
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.