Title: SOIL NUTRIENT DETECTOR FOR CROP PRODUCTION
OPTIMIZATION WITH MOBILE APPLICATION
Authors: Engr. Dennis S. Tibe,MIT
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
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C. ELECTRONIC AND OTHER RESOURCES . http://esciencenews.comC/article/2012/04/13/nutrient.and.toxin.all.once.how.plants.absorb.perfe
ct.quantity.minerals.Retrieved 12 August 2016.
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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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