Bachelorarbeit, 2024
110 Seiten, Note: 3rd Year
1. Chapter 1. THE PROBLEM AND ITS SCOPE
1.1 Rationale
1.2 Theoretical Background
1.3 Statement of the Problem
1.4 Significance of the Study
1.5 Scope and Limitations
1.6 Definition of Terms
2. Chapter 2. REVIEW OF RELATED STUDIES AND LITERATURES
2.1 Related Literature
2.2 Related Studies
3. Chapter 3. RESEARCH METHODOLOGY
3.1 Research Method
3.2 Research Design
3.3 Flow of the Study
3.4 Research Environment
3.5 Research Respondents
3.6 Research Instruments
3.7 Preliminary Procedures
3.8 Dry Run Procedures
3.9 Data Gathering
3.10 Data Collection
3.11 Statistical Treatment
4. Chapter 4. RESULTS AND DISCUSSIONS
4.1 Prior Arts of Sensor Based Temperature Conditioning Using Water Sprinkler System
4.2 Level of Effectiveness of Sensor Based Temperature Conditioning Using Water Sprinklers for small Scale Piggery Farm
4.2.1 Design
4.2.2 Features
4.2.3 Functions
4.2.4 Cost
4.3 Summary of the Level of Effectiveness of Sensor Based Temperature Conditioning Using Water Sprinklers for Small Scale Piggery Farm
4.4 Summary of the Level of Acceptability of Sensor Based Temperature Conditioning Using Water Sprinklers for small Scale Piggery Farm
5. Chapter 5. SUMMARY OF FINDINGS, CONCLUSION AND RECOMMENDATIONS
5.1 Summary
5.2 Findings
5.3 Conclusion
5.4 Recommendations
6. Chapter 6. OUTPUT OF THE STUDY
6.1 Rationale
6.2 Objectives
7. User's Guide
7.1 Purpose of the User Guide
7.2 Functionalities
7.3 Interface Layout
The primary objective of this study is to innovate and evaluate a sensor-based temperature conditioning system using water sprinklers specifically tailored for small-scale piggery farms. The research aims to address the critical issue of heat stress in pigs by automating environmental regulation to ensure optimal health, productivity, and welfare.
Rationale of the Study
The Philippines is known for its tropical climate characterized by high temperatures and humidity (Mondejar, 2023). The country experiences hot and humid weather throughout the year, with certain regions witnessing even more extreme temperatures. According to Dr. Ken L. Bryant in a blog post (2018), climatic conditions can significantly impact the health and well-being of animals, particularly pigs, which are a vital component of the agricultural sector in the Philippines. The climate influences pigs' body temperature regulation, overall health, and productivity. Maintaining an optimal environment is crucial for their growth, immune function, and feed conversion efficiency, ensuring their welfare and the efficiency of pig production.
According to the Equipment (2018), the normal body temperature range for an adult pig is 101.6 – 104 °F (38.7 – 40 °C). Maintaining this temperature is crucial for the overall health and welfare of the pig. Proper body temperature supports optimal metabolic rate, feed conversion efficiency, and immune function. When pigs maintain their normal body temperature, they convert food into energy efficiently, which promotes growth and reduces feed costs. Additionally, a stable temperature helps sustain a strong immune system, protecting pigs from diseases and infections. Thus, while body temperature is a critical factor, it should be considered alongside other indicators to enhance yields and ensure efficient pig production.
Chapter 1. THE PROBLEM AND ITS SCOPE: This chapter introduces the study's rationale, emphasizing the impact of heat stress on pig health, and outlines the research objectives and scope.
Chapter 2. REVIEW OF RELATED STUDIES AND LITERATURES: This section examines existing research on IoT, sensor-based technologies, and automated irrigation practices in livestock farming to contextualize the current study.
Chapter 3. RESEARCH METHODOLOGY: This chapter details the descriptive and quantitative methods used to collect and analyze data from experts and non-expert stakeholders.
Chapter 4. RESULTS AND DISCUSSIONS: This section presents findings on the effectiveness and acceptability of the sensor-based sprinkler system, supported by statistical analysis of respondent feedback.
Chapter 5. SUMMARY OF FINDINGS, CONCLUSION AND RECOMMENDATIONS: This chapter synthesizes the research results and provides actionable recommendations to improve the system's efficiency and practical implementation.
Chapter 6. OUTPUT OF THE STUDY: This final chapter presents the practical system design and the user's guide developed to assist farmers in operating the sensor-based equipment.
Sensor-based, Temperature Conditioning, Water Sprinklers, Small-scale Piggery, Mixed-methods Approach, Usability, Effectiveness, Product Acceptability, IoT, Agricultural Technology, Animal Welfare, Heat Stress, Automation, Farm Management, Sustainability.
The study aims to design, create, and evaluate a sensor-based temperature conditioning system using water sprinklers for small-scale piggery farms to mitigate heat stress and improve animal welfare.
The core themes include precision agriculture, automated environmental control, user technology acceptance (TAM/UTAUT theories), and sustainable management practices for agricultural operations.
The research employs a quantitative and descriptive research method, utilizing survey questionnaires based on a Likert scale to gather data from expert and non-expert stakeholders.
The system is specifically designed for integration into small-scale piggery farms, particularly those at the Cebu Technological University-Tuburan Campus.
Performance is measured using a 5-point Likert scale across four dimensions: design, features, functions, and cost, alongside behavioral intention to use and actual usage metrics.
The hardware utilizes an ESP32 microcontroller, DHT22 temperature and humidity sensor, relay module, and a water pump controlled via a web interface.
The user's guide provides technical instructions for installation, operation, and maintenance, ensuring users can maximize the system's effectiveness and address common troubleshooting scenarios.
Yes, the study evaluates the system's cost-effectiveness, highlighting benefits such as reduced water waste, utility cost savings, and improved feed conversion rates which drive productivity.
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