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

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

The plant seedling industry is encouraged to introduce ICT technology and intellectualized control system for production facilities and systematic management in Taiwan. Taiwan Seed Improvement and Propagation Station (TSIPS) counseled the needs of professional vegetable nurseries and constructed the intelligent vegetable seedling production and sale management network system to deal with nurseries’ order management, seed preparation, production scheduling, culture management, goods delivery, and

With the intelligent continuous incubation system, the temperature, humidity and ventilation can be monitored at all times through sensors, and the incubation environment can be kept at the optimum level by adjusting the ventilation facility through the control system.

With the advancement of information technology, Taiwan's aquaculture industry has shifted from a labor-intensive industry to a technology-intensive one and then to smart aquaculture.

We hope to develop wearable aids with wide application and flexibility for farmers

As a shift to smart management of agricultural production, information communication, Internet of Things, machine learning and cultivation management technology are integrated and applied to the production of greenhouse vegetables and potted flowers.

In response to the labor shortage and climate change problems, since 2017, the Tea Research and Extension Station has actively developed smart tea farm management technology and worked with Taiwan Tea Cooperation, the biggest tea company in Taiwan, to establish a demonstration field in the tea base in Laopi Farm (about 500 hectares) in Pingtung.

Taiwan Agricultural Research Institute has applied UAVs to assist the sampling of cultivated crop areas for 6 years. UAVs are used to monitor the production dynamics of sensitive crops and investigate the loss due to agricultural disasters.