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【2020 Solutions】 Yunlin Farmer Chen Wenliang Uses AI to Create a Smart Pesticide-Free Agricultural Ecosystem

Amid the global rampage of the novel coronavirus, countries have implemented lockdown policies, leading to emerging food shortages as many countries halt exports. By integrating technology with agriculture, productivity can be increased while also addressing issues like soil acidification and labor shortages in farming.

Dr. Chen Wenliang, an associate professor at the College of Biotechnology of National Chiao Tung University, along with students, established Agritech Translation Technology. They integrated biotechnology, Internet of Things, big data analysis, and artificial intelligence to develop the 'AgriTalk Management Platform', a pesticide-free agricultural pest and fertilizer monitoring system. Utilizing big data analysis and AI learning from environmental data collected by various sensors, the platform can precisely adjust and control six major production factors: disease, pests, soil fertility, moisture/humidity, temperature, and light.

CEO of Agritech Translation Technology Chen Wenliang

▲ CEO of Agritech Translation Technology Chen Wenliang

'Growing up, my father planted peanuts, watermelons, and sweet potatoes in Yunlin, which gave me a special affection for agriculture and a desire to contribute what I've learned.' Born into a farming family in Yunlin, Chen Wenliang utilized his expertise in biotechnology, along with the AI team led by Lin Yiping, Vice President and Professor of Computer Science at National Chiao Tung University. They received NT$68 million over two years from the Ministry of Science and Technology's Innovative Technology Agriculture System project, setting a benchmark for 'professor entrepreneurship'.

Two Major Rural Dilemmas - Soil Acidification and Labor Shortage in Farming

Chen Wenliang stated that the current rural dilemmas include severe problems of soil acidification and labor shortage on farms. Long-term pesticide abuse has led to soil acidification, reducing soil fertility and decreasing crop values. Therefore, prior to the company's establishment, his research team isolated and developed a biological insecticidal agent from over 5,000 types of spider neurotoxic proteins, which can kill specific pests but is harmless to humans and bees.

After the sensors collect all data on soil, it is combined with an environmental control system. Once the environment reaches specific parameters, various actions such as watering, fertilizing, and lighting are initiated to maintain optimal growing conditions. Additionally, this data is uploaded to the cloud, stored as big data, and analyzed by the AgriTalk platform's AI algorithm to predict future pest outbreaks and adjust the cultivation environment accordingly, thus preventing pest issues from the source.

Agricultural Control Module Controls Various Machines

▲ Agricultural Control Module Controls Various Machines

Agritech Translation Technology selected turmeric as a crop because it is entirely edible, has few pests, a short growth period, and high economic value. Currently, Agritech Translation Technology has four demonstration sites in Taiwan located at altitudes of 1,200 meters in Wufeng, Nanzhuang, Baoshan, and areas around Qionglin and Zhubei. They use sensors to collect data and AI to automatically adjust soil nitrogen, phosphorus, potassium content, control moisture, and soil pH. Before introducing AI, the maximum turmeric plant height was 140cm. After introducing the AI management system, plants could grow to 158cm in a week, and up to 170cm overall, achieving a curcumin concentration of up to 55000mg/100g – 4-5 times higher than usual.

From Seeding to Producing High-Quality Final Crops

▲ From Seeding to Producing High-Quality Final Crops

AgriTalk Management Platform Prioritizes High Economic Value Crops for Introduction

Following the successful introduction of turmeric, Agritech Translation Technology's next phase will introduce the cultivation of dan-shen using the AgriTalk Management Platform, continuing to prioritize the cultivation of high economic value crops in the future.

Chen Wenliang indicated that he once saw an 80-year-old farmer still working bent over in the fields in Nanzhuang, highlighting the severe labor shortage. Also, traditional farming knowledge is gradually being lost. Agritech Translation Technology aims to attract young farmers back to agriculture and preserve the older generation’s planting expertise through an AI algorithm, establishing an expert system. Generally, with a single master's guidance, all data is captured, allowing even novice farmers to quickly cultivate crops with the aid of the expert system.

Agritech Translation Technology adopts a one-stop service approach for farmers, from sensor integration to monitoring and management platform implementation, even buying the produce at double the price, to attract enterprises and agricultural product channels to invest, creating a guaranteed contract farming business model, thereby finding a sustainable and profitable model for the entire rural area and Taiwanese agriculture. This will attract more young people to return to rural areas, and solve the labor shortage problem.

Besides its own sites, the company adopts a flexible partnership model to promote its products, offering complete solutions, using single products, or even just AI services.

With complete solutions and significant results, Agritech Translation Technology's system not only became a focal point of Taiwanese agriculture but also has partnerships in Japan, the Philippines, the USA, and even Armenia in West Asia, introducing the system to crops like bananas, grapes, and olives. Chen Wenliang noted that the AgriTalk Management Platform elevates agriculture from semi-automated or manual processes to automated and AI-enhanced, creating a win-win situation for both the economy and agricultural environmental protection.

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

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【解決方案】小柿智檢 以「AOIAI」雙劍合璧,軟加硬體千錘百鍊 打通外觀瑕疵檢測任督二脈
Xiaoshi Intelligent Inspection uses the two swords of "AOI + AI" to combine software and hardware to open up the two channels of appearance defect detection and supervision.

Quality inspection, like a double-edged sword, has always been a favorite and painful subject for Taiwanese manufacturers When AI deep learning enters the industrial visual inspection of traditional manufacturing industries, it can not only save inspection manpower investment, solve the problem of inconsistent manual visual standards, overcome the limited visual recognition and defect detection blind spots of traditional automatic optical inspection AOI, and also enable real-time traceability Causes of quality problems The overall AIAOI visual inspection solution developed by Xiaoshi Intelligent Inspection integrates software and hardware to create efficient appearance defect detection capabilities, helping electronics OEM customers create high-efficiency products with a miss detection rate of less than 1 and an overkill rate of less than 3 Check the level Xiaoshi Intelligent Inspection was established in 2020 Although it is a new venture two years ago, it did not start from scratch 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inspection standards to be consistent, and visual inspection of fine objects, such as passive components or highly reflective components, will cause long-term vision damage 2 Traditional AOI automatic optical inspection The product has limited visual recognition capabilities and blind spots in defect detection Among them, the detection of appearance defects such as scratches, oil stains, dirt or hair and other unexpected subtle defects has always been a problem in AOI applications Insurmountable difficulties AIAOI visual inspection overall solution is a great boon for appearance defect detection When designing the product roadmap of Xiaoshi Zhikan, customer group positioning and strengthening customer product services and value were important indicators Moreover, appearance defect detection has always been an unresolved pain in the manufacturing industry, Hong Peijun said With industrial quality inspection AI software as the core, Xiaoshi Intelligent Inspection provides an overall solution for AIAOI visual inspection It mainly promotes three major products, including "QVI-T AI deep learning inspection modeling platform software" and "AI six-sided defect inspection and screening machine" ” and “AI Industrial Quality Inspection Platform” The main customer groups served are semiconductor packaging and testing, EMS electronics foundry, small metal parts processing and other industries with high production capacity and high gross profit margin In response to customer needs, Xiaoshi Intelligent Inspection provides corresponding software and hardware services, combining self-developed AI deep learning software and hardware quality inspection equipment to reduce the manual visual burden on the production line and effectively improve the production quality of the factory In order to help equipment manufacturers and technical engineers with development capabilities accurately grasp product appearance defect detection, Xiaoshi Intelligent Inspection independently developed QVI-T deep learning detection software, which can provide customers with defect location, defect classification, defect segmentation, anomaly detection and text recognition Key functions such as this are different from the fixed detection methods of traditional software Algorithms can be refined based on different industrial detection methods and different APIs can be developed to connect devices with different lenses The software design of this platform is very lightweight It is a SaaS software built on public cloudprivate cloud It mainly involves simple image uploading, labeling, training modeling, and verification testing After completion, users can download models, SDKs, APIs, and reports Effectively help customers achieve AI inference functions Currently, most of the industrial inspection services on the market are traditional AOI software industrial inspection machines, which can only measure product contours such as the head and length of fasteners, etc, and cannot truly provide detection of subtle product surface defects such as screw head cracks and tooth damage There is a lack of such high-precision defect detection companies in the market, Hong Peijun observed Xiaoshi Intelligent Inspection developed and independently built the "AI six-sided defect detection and screening machine" from customized services in the past to providing standardized services for customers at the current stage It provides standardized testing services for fasteners in measurement and surface defects, as well as passive components High-speed surface defect detection of similar products This professional machine uses the AI deep learning AOI composite algorithm technology independently developed by Xiaoshi Intelligent Inspection Through parallel computing technology, it can achieve model inference up to 3 milliseconds per picture, and realize multiple complex defect detection on the electrodes and body of passive components This professional machine is mainly used for the inspection 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defect detection will be an important source of core competitiveness of Xiaoshi Intelligent Inspection, Hong Peijun said AI six-sided defect detection and screening professional machine will be the main product promotion direction of Xiaoshi Intelligent Inspection in the next 3-5 years Faced with the booming development of Industry 40 in smart factories, customers often ask "Does quality inspection data have secondary use value" Hong Peijun said that the "AI Industrial Quality Inspection Platform" launched by Xiaoshi Intelligent Inspection has a machine learning mechanism , which can be used for secondary use of quality inspection data to provide customers with multiple functions including real-time monitoring and early warning of production quality, quality traceability analysis, quality factor assessment, process parameter prediction and recommendation Taking the successful introduction into the automotive parts factory as an example, through the prediction and recommendation of process parameters provided by the AI industrial quality inspection platform, when we know the product defects, we build a set of models based on the experience of past masters, coupled with the network connection data from the previous stage, After integration, we have process data, incoming material data, and quality inspection data We can predict whether these machine parameters have run out, and we can recommend whether the process parameters of certain sections should be adjusted up or down Through the AI industrial quality inspection platform, Xiaoshi Intelligent Inspection can help customers connect visual quality inspection results, process data and acceptance standards with the existing MES system of the customer's factory to improve production quality, improve efficiency and reduce costs In terms of business model, Xiaoshi Zhiqian also provides a software subscription system for the deep learning detection modeling platform software It provides public cloud customers with traffic subscription and charges based on the amount of image uploads, while private cloud customers adopt an annual license fee license charging mechanism In addition, the company also provides customers with a buyout charging mechanism for the overall solution equipment, and provides a one-year warranty, after which consumables and software update maintenance fees are charged annually Going in the opposite direction, using both hard and soft methods, with a missed detection rate of less than 1 and rapid modeling in 15 minutes Faced with various small-volume and multi-sample inspection needs in the manufacturing industry, general AI deep learning visual inspection usually requires customers to collect a large number of photos of defective products, which is time-consuming to label, and also causes customers to have difficulty in importing AI, and defective products cannot be collected The introduction cycle is long and implementation is full of risks If there are not enough bad 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by adopting a standardized company's AI six-sided defect detection and screening special machine can it be replicated and scaled up, and the company can truly continue to move towards optimization and create product competitiveness, even if there are other competing products It’s not easy to compete for this pie, Hong Peijun said Xiaoshi Intelligent Inspection’s overall AIAOI visual inspection solution creates rapid modeling and excellent results for customers with a missed detection rate of less than 1 The most competitive AIAOI overall solution provider with global presence For new entrepreneurs, facing business expansion is a challenge every day Hong Peijun said that small companies are easily snatched away by large companies, company talents are poached by high salaries, lack of deep customer relationships, and the business team is not large enough, etc How to overcome this Hong Peijun believes that the key to success and competitiveness of a new start-up company is to be diligent in making up for mistakes, provide better services, provide more immediate feedback, and create more professional solutions to convince customers Since its establishment in 2020, Xiaoshi Intelligent Inspection has always gone against the grain in terms of product core strategic layout, surpassing the competitive market among its peers, and actively taking root in the overall solution of AI visual inspection software and hardware Hong Peijun hopes that Xiaoshi Intelligent Inspection will become the world's most competitive AIAOI overall solution provider for the electronics and semiconductor industries in the future, and provide the top AIAOI professional machines and equipment to the electronics and semiconductor industry customer base Hong Peijun said that the technical capabilities of the company's AI six-sided defect detection and screening professional machine have reached the top domestic level In order to speed up the research and development of professional machines to become more standardized and sell them to overseas markets, the company will conduct a fundraising plan at this stage, hoping to use legal persons such as the Capital Strategy Council to assist in more business connections and fundraising channels For the medium and long-term goals, Xiaoshi Intelligent Inspection will lay out the global market including mainland China and Southeast Asian countries At the same time, it will follow the international footsteps of major OEMs in global layout Under the target inspection project, it will continue to develop specialty products and spread towards the international field 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」