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Published on:April 2018
Indian Journal of Pharmaceutical Education and Research, 2018; 52(1s):xx-xx
Original Article | doi:xx-xx

Development of Geospatial Model for Preparing Distribution of Rare Plant Resources Using Uav/Drone


Authors and affiliation (s):

Takashi Watanabe1,2, Aedla Raju1,3, Yukihide Hiraga1,4, Koji Sugimura1,2

1Department of Medicinal plant, School of Pharmacy, Kumamoto University, 5-1 Oe-honmachi, Kumamoto 862-0973, Kumamoto, JAPAN.

2School of Pharmacy, Joint Research Laboratory of Agro-medicine for the Innovation of Agriculture, Kumamoto University, 5-1 Oe-honmachi, Kumamoto 862-0973, Kumamoto, JAPAN.

3Graduate School of Science and Technology (GSST), Kumamoto University, 2-39-1, Kurokami, Kumamoto, 860-8555, JAPAN.

4Hirata Corporation, 111 Hitotsugi, Ueki, Kita, Kumamoto, 861-0198, JAPAN.

Abstract:

The based-on importance of spatial distribution and bio-activities of rare plant resources, the present paper is proposing a Geographical Information System (GIS) based geospatial model for identification and preparing distribution of various rare plant resources. The main purpose of this geospatial model is used to detect the suitable plants resources and monitor the plants with environmental conditions. This model also aids to identification of suitable areas i.e. hotspots for cultivation of selected plants with high content of constituents. Geospatial techniques like Remote Sensing (RS), Geographical Information System (GIS), and Global Positioning System (GPS) are accurate methods to identify, map, quantify, integrate and analyse various targeted plant resources along with spatial distribution. In the present study, the spatial information of the plants were collected by using UAV/Drone and the images were processed using image processing techniques to identify the resourceful plants. By using GIS software various thematic data layers related to the field work and geographic location were prepared and integrated using weighted overlay analysis technique. Based on the analysis, the final rare plant resources were distributed into excellent, good, moderate good and poor classes based on weightage and significance of the data.

Key words: Rare plant resource, Remote sensing, GIS, GPS, UAV, Drone and geospatial model.

 

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The Official Journal of Association of Pharmaceutical Teachers of India (APTI)
(Registered under Registration of Societies Act XXI of 1860 No. 122 of 1966-1967, Lucknow)

Indian Journal of Pharmaceutical Education and Research (IJPER) [ISSN-0019-5464] is the official journal of Association of Pharmaceutical Teachers of India (APTI) and is being published since 1967.

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