Irrigated Rice Yield ProjeCtion E-Application (iRYCE)
Romeo P. Evangelista1, Maria Visitacion Gumabay2, Jesus B. Pizarro3
1Romeo P. Evangelista, Nueva Vizcaya State University, Nueva Vizcaya Philippines.
2Maria Visitacion Gumabay, Saint Paul University, Philippines, Cagayan Philippines.
3Jesus B. Pizarro, Saint Paul University, Philippines, Cagayan Philippines.
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 1103-1107 | Volume-8 Issue-5, March 2019 | Retrieval Number: E3362038519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Using the descriptive and developmental design, the study developed and evaluated an Irrigated Rice Yield projeCtion E-application (iRYCE) to predict rice yield of irrigated farms in Bayombong, Solano, Bagabag and Quezon, Nueva Vizcaya, Philippines. A total of twenty (20) farmer participants with irrigated rice fields adjacent to each other were the respondents from the four municipalities. While forty (40) system evaluators and end users from the academe, DA planning officer, ICT program developer and agriculturist/technician evaluated the proposed iRYCE application. A questionnaire, interviews and observations were conducted from the field practices of the farmers with all the inputs in the conceptual paradigm of this study. The researcher used frequency count and percentage distribution, mean, chi-square, pearson r and linear regression analysis to predict and determine the extent of relationship of projected rice yield with the result of soil analysis, average yield of the participants per annum, rice variety, fertilizer application, number of days of rice seedling before transplanting and harvesting. Dynamic System Development Method Framework was utilized as its guide in the development of the iRYCE application. As a result, Nitrogen nutrient of the soil samples from the four municipalities had a low qualitative description. Phosphorous nutrient test had a qualitative description distributed from low to high and Potassium had a high qualitative description. The municipality of Solano had an average description rating in terms of average yield per annum while the three other municipalities had a descriptive rating of low. The overall rice varieties that were utilized by the farmer participants were RC 222 (45%), RC 226 (25%), RC 216 (12.5%), RC 152 (10%), RC 440 (5%) and RC138 (2.5%). Majority of the farmer participants followed fifteen days (15) after transplanting in their fertilizer application of side dress. While the days before harvesting practice of the farmer participants had a range from 108 to 115 days. Findings showed that the extent of software compliance as evaluated by system evaluators revealed that the proposed system was accepted unconditionally based on ISO 25010 criteria. The results showed that the overall features of the system with respect to ISO criteria were all met.
Keyword: Developed System, Dynamic System Development Method Framework, Soil Analysis.
Scope of the Article: Probabilistic Models and Methods