Forecasting anthracnose-twister disease using weather based parameters: geographically weighted regression focus

Isip Miguelito,Alberto Ronaldo,Biagtan Ariel 대한공간정보학회 2021 Spatial Information Research Vol.29 No.5

The aim of this study is to identify the environmental factors that may influence the onion anthracnose- twister disease incidence and severity. In this study, Geographically Weighted Regression (GWR) analysis was used to identify the dominant environmental factors that might influence the occurrence of Anthracnose-twister disease of onion using Geographic Information System approach. The onion disease records were acquired from the Institute of Climate Change and Environmental Management. The weather parameters such as relative humidity, cumulative rainfall and temperature were acquired from the National Aeronautics and Space Administration website while the river parameters were generated from Sentinel-2 images. This study has identified the ‘distance to river’ and ‘rainfall’ factor as the two (2) important factors that may influence the occurrence of the disease. The predictive surface map generated from GWR model was able to predict the occurrence of the disease in onion field by as much as 86% in the study area. The results of the study can be used to forecast the occurrence of anthracnose- twister disease in the onion fields the future.

A Hierarchical Model of Service Quality in Higher Education Institutions

Isip, Marc Immanuel G.,Li, Richard C. Korean Institute of Industrial Engineers 2017 Industrial Engineeering & Management Systems Vol.16 No.4

A need to develop a multi-perspective assessment tool that will measure the institutional quality of service of public HEIs in the Philippines has been realized. Thus this study aims to propose a hierarchical conceptual model of service quality in public HEIs. Moreover, this study offers an industry-specific model of service quality, which can provide a foundation for further research regarding perceived service quality and a practical assessment tool for assessing quality in HEIs. The model underwent three phases of development. Analysis of data from 872 respondents from three state universities indicates that the proposed model passed the tests for sample adequacy, reliability, and discriminant /convergent validity. Moreover, model showed strong absolute and incremental fit indices. The model is composed of three levels with 71 variables representing 6 quality dimensions (Teaching Achievement, Research Capability, Delivery, Student Competence, Continuous Improvement, and Content) and 19 sub-dimensions.

Effect of a Standing Body Position during College Students' Exam: Implications on Cognitive Test Performance

Isip, Marc Immanuel G. Korean Institute of Industrial Engineers 2014 Industrial Engineeering & Management Systems Vol.13 No.2

This study stems from the work of Lehman et al. (Ergonomics, 2001) which concluded that standing yields better work performance, and from the growing health trend of recommending the reduction of the amount of time spent in sitting (Owen et al., Exercise and Sport Science Reviews, 2010). Lajoie et al. (Experimental Brain Research, 1993) provided an initial significant contribution to a theory that standing requires a person to control balance, equating to demand higher productive output from the cognitive system than when a person is sitting. An assumption was formulated that standing position during class is feasible and can be adopted on the belief that it might contribute positive results to students' performance. The purpose of this study is to identify whether a body position during exams tested along with exposure durations has a significant effect on college students' performance. Mathematical analysis and reading comprehension exam was used to measure the cognitive performance of the students. Two factors, position and duration, were tested for significance with two levels each subjected to six replicates. Twenty-four students from the College of Engineering and Agro-Industrial Technology, University of the Philippines Los Ba$\tilde{n}$os were randomly selected. The experiment showed that the body position during exams is a significant factor for the Math exam, but insignificant for the Reading Comprehension exam.

Exploring vegetation indices adequate in detecting twister disease of onion using Sentinel-2 imagery

M. F. Isip,R. T. Alberto,A. R. Biagtan 대한공간정보학회 2020 Spatial Information Research Vol.28 No.3

Traditional plant disease detection is time consuming and costly, thus an inexpensive and faster alternative method of detection is needed to send early warning to farmers to prevent pests and disease infestation and for proper intervention. To provide timely and accurate detection in twister disease of onion, remote sensing was exploited using Sentinel 2 imageries. Vegetation indices (VIs) derived from the VIS–NIR region of the image were evaluated for their capability to detect twister disease. VIs were subjected to regression analysis to evaluate the relationship between vegetation indices and severity index of onion twister disease. Vegetation indices with strong relationship to twister disease were selected and further used in unsupervised ISODATA classification. Overall accuracy of classification generated from vegetation indices were calculated based on confusion matrix using ground truth points collected from field work to identify the most suitable index based on highest overall accuracy. It was found out that NDVI and GNDVI has the highest coefficient of determination (R2) indicating a strong relationship to the disease severity. Results of the classification shows that GNDVI, PSSRa and NDVI obtained the highest overall accuracy of 83.33%, 80.95% and 78.57% respectively. This indicates that these 3 VIs can be used for detection of twister disease in the field since it gives better discrimination and high accuracies. Hence, VI’s generated from Sentinel 2 imagery has the potential in detection, monitoring and management of twister disease of onion in the field.

Direct and Indirect Influences of Environmental Hostility on Export Performance

Marc Immanuel G. Isip,Rowena DT. Baconguis,Dinah Pura T. Depositario,Maria Ana T. Quimbo,Merlyne M. Paunlagui 한국무역연구원 2022 The International Academy of Global Business and T Vol.18 No.4

mostly considered to moderate relationships rather than measured as a direct or indirect influence toward a specific outcome variable of interest. This study aims to contribute to knowledge that the firm’s export performance, as the outcome variable, is directly and indirectly influenced by environmental hostility with entrepreneurial orientation and dynamic capabilities along a single path. Design/Methodology/Approach – Grounded on the resource-based view and contingency approach in management, an explanatory sequential research design was used. Using the PLS-SEM technique, quantitative data was collected and analyzed from 108 medium-scale agro-processing firms in the Philippines. A series of interviews was done after to validate quantitative findings and to show the practical manifestation of the variables. Findings – The influence of environmental hostility on export performance is not straightforward, and an indirect, multi-step mediating effect is made through the firm’s entrepreneurial orientation and dynamic capabilities. Most importantly, the firm’s dynamic capabilities were seen to be the missing link between the EO-export performance relationship, as it gives the better understanding as to why EO alone cannot always influence above-average export performance. Dynamic capabilities are essentially needed along the firm’s chain of operations, making dynamic capabilities a major antecedent of export performance. Research Implications – EO is responsible for converting threatening and hostile environmental effects into beneficial outcomes, such as enhanced dynamic capabilities. However, dynamic capabilities are responsible for the effective execution of operations that positively influence an above-average export performance.

A Hierarchical Model of Service Quality in Higher Education Institutions

Marc Immanuel G. Isip,Richard C. Li 대한산업공학회 2017 Industrial Engineeering & Management Systems Vol.16 No.4

A need to develop a multi-perspective assessment tool that will measure the institutional quality of service of public HEIs in the Philippines has been realized. Thus this study aims to propose a hierarchical conceptual model of service quality in public HEIs. Moreover, this study offers an industry-specific model of service quality, which can provide a foundation for further research regarding perceived service quality and a practical assessment tool for assessing quality in HEIs. The model underwent three phases of development. Analysis of data from 872 respondents from three state universities indicates that the proposed model passed the tests for sample adequacy, reliability, and discriminant /convergent validity. Moreover, model showed strong absolute and incremental fit indices. The model is composed of three levels with 71 variables representing 6 quality dimensions (Teaching Achievement, Research Capability, Delivery, Student Competence, Continuous Improvement, and Content) and 19 sub-dimensions.

Effect of a Standing Body Position during College Students’ Exam

Marc Immanuel G. Isip 대한산업공학회 2014 Industrial Engineeering & Management Systems Vol.13 No.2

This study stems from the work of Lehman et al. (Ergonomics, 2001) which concluded that standing yields better work performance, and from the growing health trend of recommending the reduction of the amount of time spent in sitting (Owen et al., Exercise and Sport Science Reviews, 2010). Lajoie et al. (Experimental Brain Research, 1993) provided an initial significant contribution to a theory that standing requires a person to control balance, equating to demand higher productive output from the cognitive system than when a person is sitting. An assumption was formulated that standing position during class is feasible and can be adopted on the belief that it might contribute positive results to students’ performance. The purpose of this study is to identify whether a body position during exams tested along with exposure durations has a significant effect on college students’ performance. Mathematical analysis and reading comprehension exam was used to measure the cognitive performance of the students. Two factors, position and duration, were tested for significance with two levels each subjected to six replicates. Twenty-four students from the College of Engineering and Agro-Industrial Technology, University of the Philippines Los Banos were randomly selected. The experiment showed that the body position during exams is a significant factor for the Math exam, but insignificant for the Reading Comprehension exam.

Perceived Relevance of Grade 9 Mathematics Topics to Everyday Life : Inputs to Context-based Enrichment Activities

John Patrick S. Alcantara,John Christian E. Isip,Gerardo R. Sison, Jr.,Allan A. Yutoc,Butch Stephen C. Duay,Rexella M. Umoquit ASCONS 2020 IJASC Vol.2 No.2

Background/Objectives: This research aspires to develop context-based enrichment activities that will make an interrelation between the concepts taught in Grade 9 Mathematics in Angat National High School at Taboc, Angat, Bulacan to the lives of the students. Methods/Statistical analysis: The sample of the study included 35 students. Contextual Teaching and Learning (CTL) approach can be used to address this study. Using the survey questionnaires, results revealed the topics that has perceived low relevance to the students were, law of sine, law of cosine, angle of elevation and depression, quadratic inequalities, applications on quadratic function, equations transformable into quadratic equation, oblique triangles, trigonometric ratios and special angle, solving quadratic equations by completing the square and graphs of quadratic function, and these are the topics contained in the enrichment activities. Findings: The students also replied that there is a need to come up with an instructional material that will connect these concepts to their lives and to improve their knowledge, abilities and skills, to monitor their assimilation of information, and to contribute to their overall development and upbringing. Improvements/Applications: The evaluation of the instructors to the enrichment activities scored an admissible mark and was complimented as useful and applicable.

Disease risk map of anthracnose-twister of onion based on previous disease locations as a future predictors

R. T. Alberto,M. F. Isip,A. R. Biagtan,R. C. Tagaca 대한공간정보학회 2019 Spatial Information Research Vol.27 No.3

Understanding the disease epidemiology of anthracnose-twister disease provide us with information about the spread of disease in different areas with different climates which necessitates site specific disease predictions, management and spread of infection to other areas. Anthracnose-twister disease is caused by Colletotrichum gloeosporioides and Gibberella moniliformis and is considered to be the most destructive disease of onion in the Philippines. The disease had spread in Nueva Ecija and neighboring onion growing provinces in Luzon. To prevent the same situation in the future, disease risk maps could be of great value among decision makers and farmers to minimize damage and losses due to the disease. A geographic information system is an essential tool in analyzing disease data associated with geographic locations which can generate spatial distribution, spread and occurrence of plant diseases in the form of maps. These can provide meaningful information that can be easily interpreted. In this study, the data of previous disease location was utilized to generate prediction and disease risk maps through interpolation using Kriging model. Based on the results, the prediction map suggests anthracnose-twister disease of onion will become an epidemic and the disease outbreak will most likely to occur in the southern part of Bongabon (Philippines). It shows that the southeastern part of Bongabon has a very high risk due to the high incidence rate (50.01% to 75.00%) on this area during the previous cropping seasons. To mitigate the situation in these areas it is recommended to avoid using white onion varieties which is very susceptible to anthracnose-twister, and spray potential fungicides 1 week after transplanting.

Extraction of onion fields infected by anthracnose-twister disease in selected municipalities of Nueva Ecija using UAV imageries

R. T. Alberto,J. C. E. Rivera,A. R. Biagtan,M. F. Isip 대한공간정보학회 2020 Spatial Information Research Vol.28 No.3

Remote sensing is one of the advanced technologies that can be used in early detection, mapping and spatial tracking of pests and disease infestations. This technology can give an updated information on the geoinformation and plant health status of the areas by conducting image analysis and classification processes using imageries captured by satellites and unmanned aerial vehicles (UAV). Anthracnose-twister disease is one of the destructive diseases of onion in the Philippines caused by fungi Colletotrichum gloeosporioides and Gibberella moniliformis. The manifestations of this disease in onion areas are very visible in aerial imageries captured by UAV’s, thus, these imageries were utilized in extracting infected onion areas in the fields. To map out the affected areas, object based image analysis (OBIA) was carried out using aerial imageries captured by the UAV’s. Vegetation indices generated from the Red, Green, Red Edge, and NIR bands were used as image layers and the support vector machine (SVM) as the classifier. The SVM was used to generate geophytopathological maps showing the actual picture and health status of onion fields with 85?% accuracy. The OBIA using SVM was effective in extracting infected onion areas using different vegetation indices, thereby, creating geophytopathological maps pin pointing the infected and the non-infected fields in the areas. These, maps were turned over to the decision makers and extension workers to raise the level of awareness on the infestation and used as monitoring tool in disease spread prevention as well as in planning for disease and pesticide management and environmental protection.