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Use of Smartphones for Rapid Location Tracking in Mega Scale Soil Sampling

Use of Smartphones for Rapid Location Tracking in Mega Scale Soil Sampling
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摘要 Conventional, grid-based sampling location tracking approach with GPS or topographic maps is time-consuming and inconvenient. Therefore, this study combined the freely available virtual/digital globe with recent advancements of smartphone geo-browsers to develop a new sampling location tracking approach. The sampling frame was developed with pre-uploaded point map formulated in GIS environment by combining land-use map and one-kilometer grid with center coordinates. The sampling location grid was uploaded to smartphone and each point was tracked with Google Map path finder using point ID (coded grid coordinate) when searching each sampling location. The suitability of the new approach was tested for soil sample collection from paddy lands distributed in 0.9 million hectares in Sri Lanka. The sampling locations could be reached conveniently with the help of Google path-finder voice direction guide and optional routes. The efficiency of new approach was found to be remarkably high, <em>i.e</em>., over 99% of the 9000 sampling points, which were spread across Sri Lanka having an area of 65,610 km<sup>2</sup>. All sampling points in the country could be covered with twelve member field investigation crew who were guided through smartphones uploaded with sampling point grid on six motorbikes within 60 days. The new sampling location tracking approach is effective in terms of cost, time, human resource requirements, thus can be adopted in large-scale soil/plant sampling frames with high accuracy. Conventional, grid-based sampling location tracking approach with GPS or topographic maps is time-consuming and inconvenient. Therefore, this study combined the freely available virtual/digital globe with recent advancements of smartphone geo-browsers to develop a new sampling location tracking approach. The sampling frame was developed with pre-uploaded point map formulated in GIS environment by combining land-use map and one-kilometer grid with center coordinates. The sampling location grid was uploaded to smartphone and each point was tracked with Google Map path finder using point ID (coded grid coordinate) when searching each sampling location. The suitability of the new approach was tested for soil sample collection from paddy lands distributed in 0.9 million hectares in Sri Lanka. The sampling locations could be reached conveniently with the help of Google path-finder voice direction guide and optional routes. The efficiency of new approach was found to be remarkably high, <em>i.e</em>., over 99% of the 9000 sampling points, which were spread across Sri Lanka having an area of 65,610 km<sup>2</sup>. All sampling points in the country could be covered with twelve member field investigation crew who were guided through smartphones uploaded with sampling point grid on six motorbikes within 60 days. The new sampling location tracking approach is effective in terms of cost, time, human resource requirements, thus can be adopted in large-scale soil/plant sampling frames with high accuracy.
作者 Harsha K. Kadupitiya Ranga N. D. Madushan Upul K. Rathnayake Rohana Thilakasiri Samantha B. Dissanayaka Mojith Ariyaratne Buddhi Marambe Mohomad S. Nijamudeen Dinaratne Sirisena Lalith Suriyagoda Harsha K. Kadupitiya;Ranga N. D. Madushan;Upul K. Rathnayake;Rohana Thilakasiri;Samantha B. Dissanayaka;Mojith Ariyaratne;Buddhi Marambe;Mohomad S. Nijamudeen;Dinaratne Sirisena;Lalith Suriyagoda(Natural Resource Management Centre, Department of Agriculture, Peradeniya, Sri Lanka;Department of Crop Science, Faculty of Agriculture, University of Peradeniya, Peradeniya, Sri Lanka;Rice Research and Development Institute, Department of Agriculture, Batalagoda, Sri Lanka;Field Crops Research and Development Institute, Department of Agriculture, Maha-Illuppallama, Sri Lanka)
出处 《Open Journal of Applied Sciences》 2021年第3期239-253,共15页 应用科学(英文)
关键词 GIS GPS Geo-Browser Location Tracking Sampling GIS GPS Geo-Browser Location Tracking Sampling
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