FWUSOW INDUSTRY CO., LTD.

     FWUSOW INDUSTRY CO., LTD. Is one of the well-known pesticide manufacturers. In recent years, FWUSOW INDUSTRY got the ball rolling of the bio-pesticide production and had a place on the research of biopesticide application.

Leon Liang - Deputy Manager

Suggestion:

      “ Your platform of peptide prediction is pretty prospective and innovative and can even overthrow the current ways to find the new function of peptides. The platform could be better if you give users more details about the environmental conditions which the pathogens live. “

Kevin Chen – Deputy Section Manager

Suggestion:

     “ The peptide prediction system is needed to the pre-period of bio-pesticide researches and development. It could significantly save time and money of the processes. And the the system can try adding more functions, such as connecting to the database of Central Weather Bureau. In that case, it is able to show the local environmental information of where the user is via GPS.”

Taoyuan District Agricultural Research and Extension Station, COA

     Taoyuan District Agricultural Research and Extension Station is a National government agencies set up for Agricultural Science and Technology development and committed to improve traditional agriculture via high-tech engineering.

CHANG,WEI-PIN - Technical Specialist of Plant Epidemic Prevention Lab

Suggestion:

      “Current preventions to pathogens are not effective and eradicative, because of forecast of where the pathogens appear is rough without accuracy. Government agencies could only tell when did the disease prevail in the past by data with experiences and ask the farmers to be alert. That’s not prediction! How come a prediction ranges of weeks or months? So, the IoT system with the pathogen erupt forecast is an urgent need to a perfect prevention, if you can also combine the IoT forecast prediction system and your Parabase, the whole system could be complete, useful, and competitive!”

WU,YOU-HENG – Researcher of Biomechatronics Lab

Suggestion:

     “The concept of using AI to do the prediction to the function of peptides and the occurrence of diseases is really an amazing and outstanding idea. You build the bridge between peptide applications to agriculture and the disease forecast, which could be pretty useful for recent agriculture. I think you could visualize the peptide prediction score, which might be easier for people to understand, that will make your system more user-friendly.”

Department of Plant Pathology and Microbiology, National Taiwan University

     The department committed to learn the interaction between plant pathology and microbiology, which is one of the most powerful fungal research institute in Taiwan.

Ying-Lien Chen - Professor

Research domain:
• Antifungal drug development
• Integrated management of potato common scab
• Genetics and pathogenesis of Candida and Fusarium

Suggestions:

     Now the government promotes the idea of Agriculture 4.0, which aims to combine the power of artificial intelligence and big data analysis of Internet of Things. Sad to say, not many people can do this, but your team, gives a push to the concept.

     Your team combines IoT and use it to predict the probability of disease occurrence, it’s an outstanding work, and by the way, it would be more convenient to use biopesticides. A few suggestions for you, apart from the environmental condition you have already concerned, you can add more factors while training your data, that can fit the condition better. For instance, the microclimate and biological specificity of ecology.

     resistance. Find some protein that can activate the immune system of plants, it also needs analysis of AI, and with these things optimized, that’ll be impressive.

Taiwan Agricultural Chemicals and Toxic Substances Research Institute, COA

     TACTRI is a national institute responsible for pesticide research and development, the monitor of pesticide residues and toxic substances in agricultural products, plant protection technology development, pesticide technical services, and the establishment of analytical methods and evaluation standards to ensure pesticide rational usage and the safety of agricultural products.

Feng-Chia Hsieh- Associate Researcher and Head of Biopesticides Division

Suggestions:

     "It is outstanding and creative to combine artificial intelligence and drug selection, that costs down much time on searching antifungal peptides. Apart from fungi, diseases caused by viruses and bacterias are also delicate and serious in agriculture. In your description, you told me that SCM could also be applied to train more types of data, so I’ll be looking forward to seeing a powerful and complete system that can identify antiviral and antibacterial peptides. The disease occurrence model with IoT truly brought the intelligence to the applications of agricultural hardware, it will be a big contribution after farmers introduce it in a real farm. For the experiment part, if there’s more time for the project, you can do experiments with more types of pathogens.”

Department visit and Academic exchange

Dr Frank Yates - CellTechs Laboratory, Sup’Biotech

     Research in Modeling neurodegenerative disease with induced pluripotent stem cells (ips) and neuroectodermal organoids (mini-brains)

Research Axes:
• Automation of biochemical techniques and cell culture.
• Development of a system of eucaryotic and procaryotic expression for the production of recombinant antibodies (ScFv).

      “It is creative to predict the specific function of a protein by using the algorithm analyzing the primary structure. And the Scoring Card Methods is truly an interpretable way for the user to analyze the features of amino acid sequence, with the idea of dipeptides. The project would have huge contribution to the drug selection for the agriculture and even the pharmaceutical industry. For further work in experiments, you can do deeper analyze on protein degradation, because degradation is an important issue which decides the impact of peptides.”