Mr. Loyd S. Echalar co-founded Ad'Guecoz in 2021 and currently serves as a Design Manager of Software Development. His focus is on sales and the partner program. Prior to founding Ad'Guecoz, Mr. Echalar worked in the academe as an Afiliate Faculty of the Graduate Studies and Applied Research. Mr. Echalar earned an Information Technology degree and Certificate in Teaching Proficiency from Laguna State Polytechnic University and is currently on the Management Information System Department as Chairperson.
Mr. Echalar is past OIC-Associate Dean, Program Coordinator, Graphic Artist, Internal Quality Auditor, CCS Extension and Training Services Coordinator at the Laguna State Polytechnic University - Los Baños Campus. Mr. Echalar is a graduate of Technological Institute of the Philippines - Mania with a Master's Degree in Information Technology and is currently enrolled in the Doctorate Degree in information Technology Program in the same campus.
Maize Plant Nutrient Deficiency Recognition through Deep Neural Network
A mobile application that uses image processing technology for the detection of maize plants’ health conditions, as well as the diseases and pests of the maize crops was presented on this paper. With the use of machine learning algorithms particularly the deep neural network algorithm as well as the local binary pattern histogram identification and classification of the content of a digital image can be accurate and reliable.
Analysis, Visualization and Interpretation of Determinants of Degree Program selection of the Senior High School Graduates utilizing Classification and Clustering Algorithms
This research paper presents the analysis, visualization, and interpretation of determinants of why the students who graduated from senior high school select a degree program that is not aligned and connected to the specialization they took during senior high school. this research aims to identify the reasons behind their decision in selecting degree programs and aims to eliminate the conundrum behind the said conflicts. analysis was done through the use of python and jupyter notebook, while the visualization and interpretation were done through the use of the classification and clustering algorithm.
Weight Diary: An Android Application Monitoring Daily Routine for Body Weight Prediction Through Lifestyle Mining
A mobile application that monitor daily intake of calories and predict and suggest calorie intake to achieve normal body mass index.
PALIFE: A Mobile Application For Palay (Rice) Health Condition Classification Utilizing Image Processing And Pigment Analysis Towards Sustainability Of Palay Production
Rice health condition classification utilizing image processing and pigment analysis towards sustainability of rice production is an image processing application software for mobile android phones which will easily and conveniently identify and classify the health condition of rice plants as well as identify and determine the reasons why the rice plants is on that health condition.
IT for Agriculture
Many ICT in agriculture or e-agriculture interventions have been developed and tested around the world to help agriculturists improve their livelihoods through increased agricultural productivity and income, or by reducing risks. Ad'Guecoz group provides enhancement of agricultural and rural development through improved information and communication processes
IT for Education
The effective education of our youth is of paramount importance for our society. The Ad'Guecoz Group strongly believes in quality education to prepare students for integration into the working world. Our first customer was an educational facility, and to this day we maintain a focus on school technology.
Technology for Healthcare
The Ad'Guecoz Group has a long history of partnering with healthcare facilities to reduce costs and help achieve organizational goals. Whether saving cost by leveraging our Weight Management Program or increasing patient satisfaction through modern and reliable technology, The Ad'Guecoz Group has a solution to meet your needs.
PALIFE: A Mobile Application For Palay (Rice) Health Condition Classification Utilizing Image Processing And Pigment Analysis Towards Sustainability Of Palay Production
3rd International Conference on Automation, Mechatronics and Robotics
Maize Plant Nutrient Deficiency Recognition through Deep Neural Network
3rd International Conference on Automation, Mechatronics and Robotics
Weight Diary: An Android Application Monitoring Daily Routine for Body Weight Prediction Through Lifestyle Mining
3rd International Conference on Automation, Mechatronics and Robotics
Best Paper
Maize Plant Nutrient Deficiency Recognition through Deep Neural Network
Certificate of Presentation
Maize Plant Nutrient Deficiency Recognition through Deep Neural Network
Certificate of Presentation
PALIFE: A Mobile Application For Palay (Rice) Health Condition Classification Utilizing Image Processing And Pigment Analysis Towards Sustainability Of Palay Production