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MLDM Monday | 阿龜的微氣候資料科學(講者有事延期)

November 20, 2017 @ 7:30 pm UTC+0


• 演講摘要

「阿龜微氣候天眼通」(Agriweather) 的主要目標是以物聯網技術與資料科學技術,結合在地青小農,共同發展整合數據、監測、分析與專家知識的農業微氣候分析應用,打造「農業微氣候應用工具」。 本次將會分享一下我們是如何整合物聯網技術與資料科學技術,與在地青農一塊,打造「農業微氣候應用工具」的過程。

• 阿龜簡介

阿龜團隊致力於讓農業科技更有溫度,為實現「資料科學 in 農業」的理念,解決農業真實問題,因此從民間以及在地農民的需求出發,藉由各自的技術專長合作並解決問題。


• 講者簡介


阿龜微氣候天眼通 / 資料科學家阿龜計畫的發起人,同時也是位資料科學家。熱愛資料科學跨領域研究,以資料解決真實世界的問題為目標,多年來專注於「大數據分析」與「資料科學」跨領域技術研發上,專長為組織執行、演算法研發、技術架構規劃、資料分析與視覺化。過去以自身實務經驗與研究提出了資料科學發展方法,並加以實現之。研發經歷與成果涵蓋領域包含:廣告代言媒合、農業、新媒體、警政、環保、食安、經濟等應用研究。

More Introduce of AgriWeather

This team of AgriWeather supported by the development of “g0v” project in Taiwan consists of multi-disciplinary experts, such as data scientists, IT farmers, makers, software engineers, agricultural experts, communication researchers, art designers, and so on. The core perspective of the team is to take effort to develop Taiwan’s agriculture well.

This year(2017), we build a system solution, “Agriweather”, is based on the application of agriculture microclimate and experts’ knowledge cultivates integration of data, monitoring, and analysis. 

It’s including four parts:

• Field sensor and Weather box

The main purpose of “AgriWeather” is to build affordable and durable sensing devices so the average farmer can use to analyze meteorological data, and farm scientifically. Field sensor collects soil data such as temperature and humidity from different depth of layers. In the other hand, Weather box collects climate data such as temperature, humidity, atmospheric pressure, solar radiation, sunlight intensity, wind velocity and direction.

• Agri-Dashboard

We collect data that meet farmers’ actual need from different sources including microclimate data from AgriWeather sensor, and integrate them into a real-time dashboard so the farmers can monitor their farm from home with their mobile phone, pad and PC. 

• “AgriNote”-your helper in the field

“AgriNote” is an app that modularizes farming records; it uses simple Q&As and dropdown menus to help farmers easily record their activities. It lowers the threshold for farmers to digitally record their farming activities and production history.

• Data Science & Analysis

With combination of AgriWeather’s microclimate data and AgriNote’s farming activity records. Our aim is to develop further applications solving agricultural problems, such as pest alarm, crop recommendation, crop models, fertilization recommendation and automatic irrigation model.

Meanwhile, it provides those who are lack of enough money to buy advanced technologies or tools are initially working on farming management. Through “Agriweather”, it can help these famers to save manpower cost and improve production efficiency! 

• Shaw Wu 2017 – mail contact: [masked]


November 20, 2017
7:30 pm
Event Category:


Taipei, TW


Taiwan R User Group / MLDM Monday