Development of Geographic Information Systems to Lead to Data-Driven Agriculture
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Abstract
This research aims to apply geographic information systems work together with remote sensing for the preparation of Conservation Plant Database under the Royal Initiative of Her Royal Highness Princess Maha Chakri Sirindhorn and Rajamangala University of Technology Lanna to collect data of Yam planting area in Chiang Rai to be able to be used in the conservation of plant species. This research was conducted to design the database structure by QGIS together with raster image processing with R programming and presenting by Microsoft Power BI. The developed database consists of Yam, botanical characteristics, planting location, planting period, yield period, Yam grower, plant utilization (food or medical), type of soil in the planting area, climate, and a numerical height model of the planting area. As well as, remote sensing data which are Normalized Difference Vegetation Index, Green Normalized Difference Vegetation Index, Normalized Difference Water Index, and Tasseled Cap Transformation. Consisting of Brightness index, Greenness index, and Wetness index, etc. Besides, the researcher analyzed additional data from the developed database to explain the spatial change of Yam cultivation in Chiang Rai Province. According to Aerial photographs during January – April for the past 5 years (2017-2021). The results of the analysis revealed that the trend line of Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI), and Greenness indicate that plant cover in the survey area tends to decrease. Furthermore, Normalized Difference Water Index (NDWI) and Wetness index have a downward trend as well. From the results of such an analysis, may affect the abundance and extinction of Yam. Thus, the development of the above database can be used to make decisions about plant conservation in the future.
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References
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