The smart irrigation controller is a controller that reduces water use by monitoring and utilizing site environmental information and applying the right amount of water. These controllers receive feedback from the irrigated system and adjust irrigation duration and/or frequency accordingly. There are generally two types of smart controllers: climatologically based and soil moisture-based. Climatologically based controllers are also known as evapotranspiration or ET-controller. Evapotranspiration is the process of transpiration by plants combined with evaporation that occurs from plant and soil surfaces. In order to take the advantages of both type of controllers, the objective of this study is to present the development of hybrid soil moisture sensor and climatologically based controller. As part of the development of complete smart irrigation controller, real-time hourly step evapotranspiration monitoring is required on the continuous way of control. For that reason, the objective of this study was to develop a real-time evapotranspiration monitoring in the application of smart cloud-based irrigation controller.The developed real-time evapotranspiration monitoring could estimate the hourly step reference evapotranspiration (ETo) from the environmental data. The real-time computation performed in an executable function that triggered every 10 min. by implementing time shifting. Investigation on the relation between soil moisture and ETo as a potential input of hybrid controller for the smart irrigation controller is in our future works.
Poster presentation at The Kyushu Branch Japanese Society of Agricultural Machinery and Food Engineers Conference 2015
Kagoshima University, Kagoshima, Japan.
Prehension and evaluation of field environmental conditions are very important tasks in agriculture. To enhance the agricultural production system, an agricultural information supporting system ”Agri-eye” has been developed based on a cloud computing scheme. It consists of work recording, actuation and field environmental monitoring system. Regarding the environmental observation, monitoring nodes have been installed in several greenhouses in Fukuoka, Japan up to now. The environmental data has been stored in the database system in accordance. Nevertheless, the data stored in the database gradually expanded due to long-term observation. The authors have tried to utilize the feature value hidden in spacious environmental data for the present dynamical analysis. Ide and Inoue (2005) have proposed the singular spectrum transformation (SST), which uses the eigenvalues (λ) and eigenvectors (U) for a characteristic matrix formed from a set of time series data and then verified that the SST is capable of detecting the change points from arbitrary time series data automatically and systematically. Okayasu et al. (2012) applied this method to evaluate the environmental dynamics for CO2 concentration in a tomato greenhouse.. In order to dissemination of environmental information and analysis result, in this study a change point analysis using SST mentioned above was adopted in a web-based application for detecting change points from the environmental time series data. The validity of the method and performance of web-application will be verified by using the environmental data stored in the Agri-eye database measured in the real greenhouse cultivation.
Keywords: change point analysis, singular spectrum transform (SST), dynamical analysis, web application, time series analysis
Submitted to International Symposium on Agricultural and Biosystem Engineering (ISABE) 2013
Berawal dari share link mengenai seminar sawit yang diselenggarakan oleh jurusan teknik pertanian dan biosystem ugm di wall facebook, ada teman yang menanyakan terkait tema dari seminar, adapun tema yang diangkat pada seminar kali ini adalah “Penerapan Teknologi Inovatif dalam Industri Kelapa Sawit Ramah Lingkungan”, dan pertanyaan yang dilontarkan adalah apa sih teknologi ramahlingkungan yang di tawarkan?
[dropcap]M[/dropcap]y research will focus on mobile actuator based on android mobile, after discuss and looking for problem met in filed. Mobile web application will doing control and actuator for strawberry greenhouse.
This is first try, developing application using android sdk.
This is my fourth lecture notes about biostatistic, the previous notes, told us about the data presentation ( graphs, polygon, bar chart, histogram and etc. Probability topic will discuss about what happen when we roll a die or tossing a coin, in my opinion this topic will use to help us when we estimate the real distribution in population using several sample. the professor said that this topic is useful to expect the probability when we doing research in large population and doesn’t know about the real population distribution.
This morning is the 3rd meeting in this class, the material is more specific in how to process our data and the objective is we can understand about the whole general future of data. After we knew about many type of data, the next step is make analysis using tables, graph and summary.
Tables show the frequency distribution, for nominal and ordinal data, a frequency distribution consist of a set od classes or categories along with numerical counts. If we using tables for our data presentation it will help us to show either summary or details data. the aims of summary data is showing numerical data and dont’ forget to show the number of samples examines, not only presenting the ration but also number of samples.