Development and evaluation of an Android application for the MOET-based Mathematical Model or MOET App

Issue Date

4-2016

Abstract

This paper discusses the development and evaluation of the MOET 3-in-1 Android App (MOET App) after having proven the functionality of the MOET-based Mathematical Model (MMM) in 2011 at PhilRice Negros. The model, developed because of the identified limitations of the MOET kit fertilizer guideline, proved to be very capable of computing the precise amount of nutrients that are needed by a particular Philippine rice cultivar for a given yield target. However, due to the complexity of using the mathematical model manually, automating the entire computation process of the model has been deemed necessary, hence, the MOET 3-in-1 Android App was created in 2013. To evaluate the App's effectiveness as a fertilizer recommendation tool, yield trials were conducted in 2014. These trials aimed to compare yield outputs of NSIC Rc216 fertilized via the MOET 3-in-1 Android App recommendation, MOET kit fertilizer guideline and farmers' practice. Results of the yield trial showed significant advantages in yield as well as in other agronomic parameters of NSIC Rc216 fertilized via the MOET 3-in-1 Android App. The MOET 3-in-1 Android App was also evaluated in terms of yield target probability and deviation analysis which showed a 92% chance of target yield attainment with a +-16% deviation of the actual yield if its fertilizer recommendations are followed and no biotic or abiotic stress was suffered by the crop. Further, comparison of the target and actual yields via a normalized root mean square error (nRMSE) showed that the yield setting capability of the MOET 3-in-1 Android App was found 'fairly acceptable'.

Source or Periodical Title

Philippine Journal of Crop Science

ISSN

0115-463X

Volume

41

Issue

1

Page

33-41

Document Type

Article

College

College of Agriculture and Food Science (CAFS)

Physical Description

illustrations; charts; graphs; maps; tables

Language

English

Subject

Fertilizer application; Technology transfer

En – AGROVOC descriptors

INFORMATION PROCESSING; INFORMATION TECHNOLOGY; INFORMATION SYSTEMS; MATHEMATICAL MODELS; YIELDS; TECHNOLOGY TRANSFER; FERTILIZER APPLICATION; NUTRIENT AVAILABILITY; EXPERIMENTATION

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