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Dig data first, then dig! The symposium on the concept of agricultural Committee opened API, and 33-hour uninterrupted agricultural innovation is about to begin.
FarmHackathon, an agricultural innovation hacker, will hold a 33-hour non-stop marathon from 12/9 to10. A concept seminar was held in Sanchuang last week. In addition to promoting API materials, many lecturers were invited to share their experiences.

Cross-border cooperation! Stimulate creativity and create digital solutions to agricultural problems. The "Agricultural Innovation Hacker Song FarmHackathon" Hacker Song Competition, which will debut in February, 65438, aims to explore what science and technology can do for agriculture through brainstorming. I also hope that through the hacker spirit, I can intensively cultivate and design intelligent solutions within 33 hours. This theme covers four fields: agriculture, forestry, fishing and animal husbandry. Combine with OpenData, BigData, Cloud, etc. I hope to design innovative applications such as system, service, application, software and hardware integration with program creativity, such as intelligent production management platform, intelligent mechanical operation assistance, GIS spatial information big data analysis, digital agricultural production and marketing services, etc. Adhering to the passionate spirit of "It's better to roll up your sleeves and set out", we sincerely invite talents from all walks of life to gather together to find solutions to agricultural problems with digital technology, so as to reverse the predicament of Taiwan Province's agriculture in the past.

The Agriculture Committee released more than 800 API materials with sleeves rolled up for excavation. In the two-day seminar on the concept of118 ~119, Cai and Nantou Puli Technology, an API open source database engineer and deputy director of the Agricultural Laboratory of the Agriculture Committee of the Executive Yuan, were invited. At the beginning, the host of "Hacking Plan for Agricultural Innovation" said that at present, the Agriculture Committee has published more than 800 API materials, including pork in Taiwan Province Province, operating conditions of farmers' associations, information on cattle breeding in Taiwan Province Province, trading markets of agricultural products, labels and inspection materials of organic agricultural products, etc. Although rich, no one actually knows how to use them. It is also hoped that through this experience of agricultural innovation, participants can make use of big data, Internet of Things, cloud technology, intelligent sensing and other materials.

Huang Weihua, an API open source database engineer, believes that the premise of opening data must be purposeful and normative, and it cannot be opened for the sake of opening. Only those API data with high update frequency are valuable, even if the program can't be written. The API data provided by the Agriculture Committee are all in CSV or XML format, which can be summarized and classified as long as they are loaded into excel. The key point is to draw up the goal first, and then "mine" useful and easy-to-use data from more than 800 APIs. If you want to read the detailed briefing, you can read it here.

Wu Xianer, the founder of engadget, also shared the effective API service he came up with in a short time. He took the API data of organic agricultural product labeling inspection as an example. As long as the sample names are used up with the two parameters of unqualified and sampling date, we can find out which organic products do not meet the requirements; In addition, using the annual and local weight data-the number of feeding boxes at the end of the year/the number of honey collection periods throughout the year, the trend map of bees and bee populations can be made. Wu Xianer believes that you don't have to be able to write programs. As long as you provide good ideas, you can do your best to improve the whole agricultural environment, which is also the spirit of this agricultural innovation.

The future imagination of Smart Agriculture 4.0 must reach the ultimate cross-disciplinary service ▲ Cai, deputy director of the Agricultural Laboratory of the Agricultural Committee of the Executive Yuan, brought the theme of "Future Imagination of Smart Agriculture 4.0". He believes that today's actions are more and more penetrating and new technologies are mature, so it is necessary to introduce the concept of intelligent farming or intelligent agriculture to improve the value of farming. Cai exemplified intelligent agriculture, agricultural mobile services and small farm robots in the United States. And think that it is imperative for intelligent agriculture to develop into cloud services in the future. It is necessary to develop the ultimate service connotation in both the cloud and the field, and put it into practical application through mobile practice to present the requirements available in the cloud. Even if the budget is not enough, as long as you are creative and know how to integrate, you can seize the profit opportunity.

Using big data to analyze and predict disasters and improve planting efficiency ▲ Chen Xinhao, a scientific farmer in Puli, Nantou, takes "the great wisdom of water seekers" as the theme and the great risk brought by global warming as the contact point, hoping to find an agricultural ecological restoration scheme from the microclimate change in Taiwan Province Province. Chen Xinhao believes that Agriculture 4.0 must combine the Internet of Things, cloud management and big data analysis. At the same time, it also showed the team's smart agricultural achievements, including the establishment of the Internet of Things and intelligent sensing control in the cloud. It is hoped that in the future, non-sensor data can be recorded in big data analysis, or big data analysis can be used to predict disasters and increase crop planting efficiency.

In the future, the number of ducks can be counted by aerial photography combined with AI. ▲ Lu, the founder of Shoufeng Impression, brought the "Aerial Image Identification Crop Inventory". Because of the huge manual inventory project, it is hoped that aerial photography combined with AI can be used to evaluate the status of watermelon fields, and the color recognition system can judge the quality of watermelon and infer its size and weight. Although we had to overcome the problems of low resolution, missing/wrong labels, computer crash and so on at the beginning, now the whole land is less than an hour. Lu also stressed that there are thousands of methods, and it is not necessary to use the highest technology, and choose the most suitable one, not the latest one.

Set up a micro-weather station to realize the goal of "planting in the right place" ▲ Chen Xingyan, a member of Agui's microclimate eye chain team, took the "microclimate agricultural data era" as the theme. Together with his team, he founded the openhackfarm platform to collect agricultural land information in Taiwan Province Province, hoping to make a report that farmers can understand. As long as micro weather stations are set up on agricultural land, data such as water level, water temperature, air/soil temperature and humidity can be established, and farmers can also save unnecessary waste of manpower and achieve the goal of "planting in the right place". Chen Xingyan believes that it is also the best way to give back to the earth by making the agricultural infrastructure more solid with wisdom, thus giving birth to more life forms.

The two-day concept symposium and the wonderful sharing brought by several experts made everyone know more about the relationship between API and agriculture, and attracted many people to register enthusiastically that day. Agricultural innovation hacker FarmHackathon will start a 33-hour marathon from 12/9 to 12/ 10. Let's wait and see!