We are dedicated to…
Data analysis of agricultural risk management. Using AI technology to predict the
growing pattern of plants and animals. Helping industry chains to adopt early
precautions to prevent possible risks and create brand-new benefits.
Data collection planning
By collecting field environmental data, on-site operation records, supplemented by external data acquisition, and output data such as quality and quantity, the accuracy of data collection is improved, and the breadth of collection is strengthened.
Analysis and prediction model establishment
Using data analysis algorithms, combined with academic research and professional knowledge of management operations, a prediction model between environmental data and quality is established.
Cloud service for accurate management
By analyzing the subject’s historical data and environmental data, through artificial intelligence automated analysis and machine learning algorithms, the development of automated quality and risk estimation systems is beneficial to the improvement of early warning and risk control capabilities.
Service and Product
Helping clients by building controllable agricultural risk data
application service products
When data science begin to enter the traditional industry, through analysis and grasp of small information and inter-industry knowledge, it can objectively interpret the unexplored industrial value in the market.
With data analysis and AI technology as our main core, combining crop origin, local growth data and market intelligence, it predicts a complete risk control solution for the overall production side to procurement side, and provides cross-domain information on the development of different industries and mutual symbiosis.
Want to be one step ahead? Predicting possible fluctuations in
future product specifications, yield or shipping time to make
early supply adjustments or logistics planning and to reduce or
shift risks of future losses? Or want to find out production and
market information and know the future quantity or price
fluctuations to help making decision for signing contracts?
Want to set up a complete supply chain information system,
including large-scale transparent information such as field
production situation, collection grading processing, etc., to
improve the security of buying products?
Or want to find the possible future production time, yield and
price distribution in Taiwan, gaining opportunity in advance to
carry out supply and procurement adjustments and logistics
planning and reduce or transfer risks of future losses?
Want to set up a complete supply chain from broken and
scattered production fields, having the opportunity to organize
the production end and manage the harvest of each field/farmer?
Or want to find ways to increase harvest or compliance rate, to increase purchase prices, etc. ? Want to discover market
information on the production side, and objectively evaluate the future possible quantity or price fluctuations, and to help
contract producers or buyers; decision-making when signing
One day, being old, with what way can I easily pass on my field
experience, making the valuable experience form generation
passing on forever?
Or, in addition to historical experience, is there any other
method to digitize informations, and to objectively assess future price fluctuations, yeild changes or quality control, so that I can make production adjustments in advance, reducing loss or transferring possible risk?
Want to develop commodities for agricultural risk control, but unable to grasp the actual actuarial key parameters such as field/farmer environment, crop/animal physiology or the risk of supply chain between production side to procurement side, missing the last step to develop new type of intellectual product?
Want to develop loan services for agriculture, but lack of objective scientific data for further understanding of future production capacity, value, economic benefits or risks? Missing the last foot to the agricultural service?
Want to introduce automatic analysis, predictive analysis and establish scientific models?
Want to build a government collaborative industry ecosystem?
Want to import artificial intelligence (AI), machine learning (ML), automatic prediction system and combined blockchain and other related applications?
Want to transform from traditional manual management into an informatization management, replacing the tedious manual paperwork by digitizing information, simplifying manpower demands or saving physical space for keeping records?
Want to build a dedicated website for companies, individuals, goods or services to further enhance the visibility of the market?
Want to aggregate data from huge or diverse information records, or to find out the key indicators, and then reveal the hidden risks and benefits?
All walks of life
Focusing on agricultural risk control data services, we combine crop physiological models and AI machine learning technology. The two major service products “crop physiological index accurate calculation” and “risk prediction management of production area” are developed according to crop types.
New Zealand and Australia Cherry Tomato
Overall fruit weight increased by 16%
Production per stock increased by 18%
Interview : Shaw Wu – From Agri Weather to DATAYOO
Open UP Summit｜2019-12-23
Shaw Wu, founder and CEO of DATAYOO application co., Ltd.,
is committed to helping Taiwan farmers solve problems through technology.
In the past, as a scientist, he digitized target parameters, assisted farmers to increase compliance ratio of pineapple fruit products, and successfully helped Taiwan pineapple enter the international market. Let us watch Shaw Wu’s exclusive interview at Open UP Summit.