||Session Chair: Takuji Kiura
- Yasunori Saito
"Trial experiment of movable AgriServer; network sensing system walking in field" (15 min.)
Abstract: We have been developing AgriServer that is a sensor network system. The latest one is a stand-alone type that equips a solar battery and 4G router in addition to a digital SRL (single reflex lens) camera and sensors. While several types of AgriServers have been operating at different locations (farms) and offering growth information of products remotely and in real-time, other requirement to the AgriServer occurred that was observation at several locations or the whole area of one farm. This was achieved by adding movable function to the AgriServer. A movable AgriServer has a Hexa-legs, an arm, and a spectrometer as a sensor. First trial experiment has done in a Japanese pear farm in Obuse Town, Nagano Prefecture, Japan. It could walking in the field and easily obtain spectrum on the surface of the products which were born at high position we could not touch. The data was up immediately to cloud through wireless LAN. So anyone can see the spectrum information which contains quality of product, such as sugar content, water content, and so on.
- Atsushi Itoh
"Agricultural process control methods using various sensors" (15 min.)
Abstract: In recent years, IT has been used in various fields. Use of IT has also spread in the agricultural sector. We have developed web applications for managing highly agricultural production by using IT. We named this system "apras" (=Agricultural Product Assist System) and we have continued to improve it today. It was shown through the field examination that it is possible to manage the production process of agricultural products strictly by "apras." At present, the main way of the method to collect the information is manual human input in "apras". In recent years, it has become possible to use easily various sensors and GPS cameras and the acceleration sensor by the spread of new devices such as smartphones. So, we investigated to collect various information using sensors and analyzed the sensor data. We succeeded to identify the contents of the agricultural tractor's farm work. We introduce a method to manage the more advanced information to combine "apras" and sensor data on cloud services.
- Takuji Kiura
"Sharing of spectroscopic data", (15 min.)
Abstract: Spectroscopic data can measure chlorophyll, photosynthesis, minerals, water, sugar, protein, etc and used for quality checking, and stage monitoring of agricultural products. Our project #1304010 under Strategic Information and Communication Program (SCOPE) funded by Ministry of Internal Affairs and Communication (MIC) Japan tries to use spectroscopic information for branding of Agricultural products. In this project we define XML format of spectroscopic data and used to store and annotate spectroscopic data in our system called AGRISEVER. We also try to define storage interface, metadata description, and data share APIs. As a practice of our system, we propose spectroscopic data sharing in APAN AgWG.
- co-chairs reports: The 1st SRII Asia Summit, Agriculture Showcase etc. (10 min.)
- Selection: new chair and co-chairs (05 min.)
- Discussion: (10 min.)
- work/action plan for next two years
- session requests for APAN 38th meeting in Taiwan
- NEW TOPIC
- Ismail Sunni*, Rischan Mafrur, Ardiansyah Musa Efendi, and Deokjai Choi
"Open Realtime Earthquake Impact Calculation", (20 min.)
Abstract: Earthquake is one of the most destructive natural hazard, and it's very unpredictable. When this happened, a fast respond is needed. The respond is based on the report from the location or estimation the impact of the earthquake. Creating report from the location will need more time than estimating the impact. So, impact estimation is better way to use in the first few hours. There have been many systems of earthquake estimation. But, most of them are a global level systems which don not give a good estimation since the input data is far from accurate. The best approach is, the local government runs the system in their own machine and uses their own private data. This paper presents a design and implementation about Open Realtime Earthquake Impact Calculation for answering this issue. We use open source software (InaSAFE, inasafe.org) for calculating the impact and open data from USGS, OpenStreetMap, AsiaPop for the input data. By this mean, local government can build their own realtime earthquake impact calculation with limited resources. Moreover, they can use their private data in their system so that their privacy of the data is still protected. This similar system has been implemented in realtime.inasafe.org.