International Journal of Agricultural and Environmental Information Systems (IJAEIS) 7(4)

Frederic Andres (National Institute of Informatics, Japan), Chutiporn Anutariya (Asian Institute of Technology, Thailand), Teeradaj Racharak (Japan Advanced Institute of Science and Technology, Japan), and Watanee Jearanaiwongkul (National institute of Informatics, Japan)

ISSN: 1947-3192|EISSN: 1947-3206|EISBN13: 9781466692015|DOI: 10.4018/IJAEIS.20161001

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MLA

Andres, Frederic, Chutiporn Anutariya, Teeradaj Racharakand Watanee Jearanaiwongkul. "International Journal of Agricultural and Environmental Information Systems (IJAEIS)." (2016). Web. 5 May. 2024. doi:10.4018/IJAEIS.20161001

APA

Andres, F., Anutariya, C., Racharak, T., & Jearanaiwongkul, W. (2016). International Journal of Agricultural and Environmental Information Systems (IJAEIS). doi:10.4018/IJAEIS.20161001

Chicago

Andres, Frederic, Chutiporn Anutariya, Teeradaj Racharakand Watanee Jearanaiwongkul. "International Journal of Agricultural and Environmental Information Systems (IJAEIS)," (2016), accessed (May 05, 2024), doi:10.4018/IJAEIS.20161001

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The International Journal of Agricultural and Environmental Information Systems (IJAEIS) presents high quality research papers on the design and implementation of information systems in the fields of agronomics, mathematics, computer science, and the environment. IJAEIS provides the latest innovative technologies in the construction of complex information systems and discusses the analysis, visualization, management, and dissemination of information, as well as the effective integration of agricultural and environmental information systems.

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Enhancement of Environmental Compliance Management by a Risk Profiling Information Service (pages 1-16)

Heiko Thimm

Companies are obligated to assure that at any time they comply with all relevant regulations in all relevant subject areas of environmental law. Because this requires compliance management activities that are largely performed by...

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Supervised Machine Learning for Plants Identification Based on Images of Their Leaves (pages 17-31)

Mohamed Elhadi Rahmani, Abdelmalek Amine, Reda Mohamed Hamou

Botanists study in general the characteristics of leaves to give to each plant a scientific name; such as shape, margin...etc. This paper proposes a comparison of supervised plant identification using different approaches. The...

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Current Approaches, Challenges, and Perspectives on Spatial OLAP for Agri-Environmental Analysis (pages 32-49)

Sandro Bimonte

Spatial OLAP (SOLAP) systems are powerful GeoBusiness Intelligence tools for analysing massive volumes of geo-referenced datasets. Therefore, these technologies are receiving considerable attention in the research community and in...

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Two-Level Data Collection for an Energy-Efficient Solution in Wireless Sensor Networks: Multi-Agent System Approach (pages 50-67)

Besma Benaziz, Okba Kazar, Laid Kahloul, Ilham Kitouni, Samir Bourekkache

Density in sensor networks often causes data redundancy, which is often the origin of high energy consumption. Data collection techniques are proposed to avoid retransmission of the same data by several sensors. In this paper, the...

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