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Title: SOIL NUTRIENT DETECTOR FOR CROP PRODUCTION OPTIMIZATION WITH MOBILE APPLICATION
Authors: Engr. Dennis S. Tibe,MIT
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Engr. Dennis S. Tibe,MIT Leyte Normal University, Tacloban City, Leyte, Philippines
MLA 8 Tibe, Engr. Dennis S. "SOIL NUTRIENT DETECTOR FOR CROP PRODUCTION OPTIMIZATION WITH MOBILE APPLICATION." Int. j. of Social Science and Economic Research, vol. 3, no. 8, Aug. 2018, pp. 3636-3652, ijsser.org/more2018.php?id=254. Accessed Aug. 2018. APA Tibe, E. (2018, August). SOIL NUTRIENT DETECTOR FOR CROP PRODUCTION OPTIMIZATION WITH MOBILE APPLICATION. Int. j. of Social Science and Economic Research, 3(8), 3636-3652. Retrieved from ijsser.org/more2018.php?id=254 Chicago Tibe, Engr. Dennis S. "SOIL NUTRIENT DETECTOR FOR CROP PRODUCTION OPTIMIZATION WITH MOBILE APPLICATION." Int. j. of Social Science and Economic Research 3, no. 8 (August 2018), 3636-3652. Accessed August, 2018. ijsser.org/more2018.php?id=254.
References A. BOOKS [1]. Roy, R.N.; Finck, A.; Blair, G.J.; Tandon, H.L.S. (2006). "Chapter 3: Plant nutrients and basics of plant nutrition". [2]. Barker, AV; Pilbeam, DJ (2015). Handbook of Plant Nutrition. (2nd ed.). CRC Press. ISBN 9781439881972. [3]. Marschner, Petra, ed. (2012). Marschner's mineral nutrition of higher plants (3rd ed.). Amsterdam: Elsevier/ Academic Press. ISBN 9780123849052 B. PUBLISHED MATERIALS [4]. Labrador, Mirador G. Labrador, Hebe C. Uy, Ma. Lourdes P. Amante, April Ellen E. Quebada (2014). "Development and Evaluation of GIS-Based Soil Characterization Equipment" [5]. Devika, S.V.; (2014) Arduino Based Soil Sensing. Associate Professor, Dept. of ECE. Hyderabad, India. [6]. Cheng, Danny C., (2003). "A framework for Mobile Learning Development." C. ELECTRONIC AND OTHER RESOURCES [7]. http://esciencenews.comC/article/2012/04/13/nutrient.and.toxin.all.once.how.plants.absorb.perfe ct.quantity.minerals.Retrieved 12 August 2016. [8]. http://easl.ces.uga.edu/publications/plant/Nutrient.html.Retrieved08 September 2016 [9]. http://nrcca.cals.cornell.edu/soilFertilityCA/CA1/CA1_print.html.Retrieved 07 August 2016.
Abstract: Farmers and gardeners have worked with their soils over many centuries to produce increasing amounts of food to keep pace with the needs of a burgeoning world population. The aim of this study was to develop a device and an android application that will detect the available nutrients of the soil for the increase in crop production and to provide accurate information for the suitable crop to grow in the field. The descriptive and developmental research method was used in this study. There were 32 farmers from the Association of farmers in Paranas, Western Samar (AFPWS) and the Department of Agriculture - Paranas. 25 farmers and 7 employees of the Department of Agriculture - Paranas were interviewed and given questionnaires for their experiences in using the mobile application and the soil nutrient detector. Findings indicated that the mobile application and the device were cost-effective and give the farmers the chance to save time and effort in detecting the nutrient available in the soil and what crop is best suited to plant in their areas. It also improved the task efficiently and conveniently between them. Using other sensors that are more accurate can be replaced in the existing device.

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