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02. DSSC Electronic Theses and Dissertations

Permanent URI for this communityhttps://hdl.handle.net/20.500.14578/3

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    Analysis of the factors to sugarcane production and farmers' planting intentions in the provinces of Davao del Sur, Sarangani and South Cotabato
    Granada, Ijade T. (Davao del Sur State College, 2025-06)
    The study aimed to analyze the factors to sugarcane production and planting intentions of sugarcane farmers in Davao del Sur, Sarangani and South Cotabato. The study utilized a descriptive-quantitative survey research design, administered to the 89 selected medium-large scale sugarcane farmers using sampling technique. The study used statistical tools to analyze and describe the study. The results showed that the sector was largely composed of aging farmers with limited formal education, which may hinder the adoption of modern farming techniques. Farm-related issues such as hilly/rolling terrains and dependence on rainwater heightened vulnerability to climate variability. Economic and social factors highlight farmers' strong influence sugarcane production. Consistently, correlational analysis showed that economic factors had the strongest and appeared most significant to farmers' planting intentions. Multiple regression confirmed economic factors as the sole predictor on farmers' planting intentions. Based on the findings, the Department of Agriculture and State Universities and Colleges should launch youth-targeted agricultural programs in modern sugarcane farming techniques. The government agencies should introduce mechanization suited for hilly/rolling terrains including irrigation projects to reduce reliance on rainwater and provide production support programs and policy efforts in strengthening market prices, minimizing costs and access to affordable credit for the sustainability of sugarcane farming.
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    Evaluation of corporate social responsibility programs among small-scale sugarcane farmers in Davao del Sur
    Comilang, Michelle M. (Davao del Sur State College, 2025-06)
    The study aimed to assess which corporate social responsibility program is effective in improving the sugarcane production among small-scale farmers in Davao del Sur. The study utilized a descriptive-qualitative survey research design and conducted in the province of Davao del Sur. The study administered survey questionnaires to the selected 182 sugarcane farmers and 8 representatives (chairpersons/general managers) from organization with the help of stratified random sampling techniques. The study also utilized descriptive statistics, frequency distribution, and Analysis of Variance (ANOVA) as the statistical tools of the study. The result showed that small-scale sugarcane farmers and the organizations are typically informed about and satisfied with Corporate Social Responsibility (CSR) initiatives. Nonetheless, insufficient financial resources impede their ability to fully benefit. The farming organizations exhibit a democratic leadership approach and equitable gender representation, perhaps enhancing marketing initiatives. Although both farmers and organizations convey contentment, organizations exhibit a greater degree of satisfaction due to their increased involvement in program implementation. Effective corporate social responsibility programs include livelihood support, skills development, improved agricultural methods, and market accessibility. Based on the findings, the Sugar Regulatory Administration could enhance its monitoring and evaluation to ensure that growers derive maximum benefit from these programs. Enhancing awareness and increasing the accessibility of financial support could alleviate the resource limitations encountered by both farmers and organizations.
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    Development of fishpond automated fish feeder system prototype with GSM notification
    Enanoria, Janea Rose L. (Davao del Sur State College, 2024)
    Fish farmers rely on agriculture as their primary source of income, so they are looking for ways to produce higher quality of fish. Effective methods can help produce a lot of aquaculture products. The study aimed to develop a fishpond automated fish feeder system prototype with GSM notification for adult tilapia fish, addressing the persistent challenges of inconsistent feeding and insufficient awareness of water conditions. The system successfully monitors the status of water, including pH using the pH sensor and water temperature using the water temperature sensor, it also monitors the feed level in the tank using ultrasonic sensor and the time of feeding using real-time-clock (RTC). The study made it ideal for fish farmers. This reveals that using the prototype greatly enhances the agriculture field's performance, enabling the fish farmers to maintain stable growing conditions and the growth of their tilapia fish, as well as the successful sending of the readings from the sensor through SMS notification. Above all, the implementation of the fishpond automated fish feeder system prototype with GSM notification was successful in providing a convenient way for fish farmers to monitor their fish.
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    Automated misting and android-based monitoring system for oyster mushroom (Pleurotus SP.) production
    Cabrera, Cedie Vince E. (Davao del Sur State College, 2024-06)
    This study was conducted to maintain optimal temperature and humidity, which is crucial for oyster mushroom growth; otherwise, it could impede mushroom development. An automated misting and Android-based monitoring system was developed to address this challenge. Other studies have used an automated mister; however, system monitoring is unavailable. Davao del Sur State College mushroom facility relies entirely on environmental temperature and humidity. The findings are as follows: A DHT11 sensor was used to read the temperature and humidity within a 5cm range from the sensor, spray mist when the DHT11 sensor detects a temperature of 28 degrees celsius and 72% relative humidity, HC04 Ultra-Sonic Sensor is used for water refill automation when the water reaches 7cm away from it, display humidity, temperature, and water level at 5 second intervals, and generate a graph based on average temperature, humidity, and water level calculated per month. The result of the study contributes to the agricultural aspects, specifically in mushroom farming, hence decreasing the farmer's workload and increasing the harvest yield, farming automation, and academic research. The research outcome is a foundation for new studies leading to a better understanding of farming with a more enhanced system for a better farming yield.