Team members：Chishih Chu, Ruey-Shyang Chen, Wen-Lii Huang, Yu-Chia Hsu, Kuo-Lung Chen, Che-Huang Tung, Ying-Chen Lu, ChiaWen Hsieh
1. Moisturizing, anti-UV and skin care cosmetic formula. The development of high value-added products for the graded utilization of whole Auricularia edulis, the application of radiation treatment in agriculture, the analysis of soybean components and the extraction and purification technology of isoflavones.
2. Screen Taiwan's local excellent microbial strains for development as biological pesticides, biological fertilizers and animal feed additives and other bacterial strains.
3. Three new drought-tolerant rice varieties, NCYU Tainan 1, NCYU Tainan 2, and NCYU Tainan 3, have been bred. The first two bred have applied to the Agriculture and Food Administration for plant variety rights and the Agriculture and Food Administration has now accepted the application and is undergoing characteristic verification by the verification form.
4. Two new flax varieties, NCYU 1 and NCYU 2, have been bred.
5. High-protein fermented feed (named NCYU-protein, CUP) has been developed to improve the growth performance of pigs and poultry.
6. The application of NCYU-protein in aquaculture fisheries such as Asian sea bass and whiteleg shrimp
7. Application of functional probiotics in health food.
8. Application of proteomics and microbial fermentation in drug development and functional food
Team members：Huuang-Youh Hurng, Wen-Luh Huang, Hong-Yi Chang, Yi-Lu Jiang, Chao-Wang Young, Wei-Jen Huang, Ying-Jen Huang, Han-Chien Lin, Tsang-Chyi Shia, Tu-Liang Lin
1. Develop a set of smart agricultural robots that can be used in the pineapple cultivation process to reduce the manpower demand for pineapple production effectively.
2. Through systematic deep learning, it is possible to learn expert knowledge about flower urging, shade period discrimination and pineapple growth detection during the pineapple production process, which can achieve the purpose of accurate flower urging, and provide objective and scientific detection data for farmers' reference.
3. Through the agricultural waste after pineapple harvest, the pineapple stems and fibers are taken, and the resources are reused, and provide plant-based processed products.
Advantages description:
Effectively alleviate the gradual aging of the current agricultural population and the long-term lack of labor, and improve the efficiency of the pineapple production process.
1. The deep learning model trained on this crop can be applied to other crops through transfer learning to reduce development time.
2. Extracting the natural fiber from pineapple leaves in the most economical way not only reduce the disposal cost of agricultural production waste by related industries, but also reduce garbage and environmental pollution. Various cultural and creative products made from pineapple leaf fiber can create higher circular economy value and make pineapple cultivation a more economically efficient crop.
Team members：She-Ching Wu, Chih-Yi Chiu, Yi-Lu Jiang, Wen-Chang Chang, Bao-Hong Lee
1. Pineapple intelligent storage and transportation cold chain logistics technology: proposes a fence-type low-temperature storage and transportation system to extend the storage period according to the classification and physical processing technology of pineapples after harvest, and to assist in subsequent island sales and low-temperature storage and export evaluation.
2. Pineapple intelligent quality grading and monitoring system: Establish an AI intelligent model to assess quality levels, use IoT to monitor the status and changes during transportation and storage, and provide an interactive platform system for workers and consumers.
Advantages description:
1. Cold chain logistics technology integrates professional researchers in the fields of vegetable and fruit raw materials, freezing and cold storage, food processing, food chemistry and analysis, artificial intelligence, expert learning systems, etc., and optimizes the storage temperature and fence type food for pineapple raw materials. The establishment and data collection of conditions such as processing technology, low-temperature storage management and quality deterioration parameters, and optimal packaging materials for low-temperature storage are used to assist in the establishment and improvement of storage and transportation systems, and finally to enhance the food and agricultural economy as well as to provide fruits and vegetables export technology and novelty product shelf-sale evaluation methods.
2. Collect a large number of pineapple quality parameters through expert knowledge and experience to build a database, as the basis of the intelligent quality grading model, develop APP programs so that the general public can also make preliminary judgments on the quality level of pineapples. In addition, an IoT sensing environment and monitoring system suitable for use in the stage of transportation, storage and storage is built, so that users can grasp the current status of the pineapple at any time, and the system can actively remind the pineapple of changes and suggest appropriate disposal methods.