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Undergraduate Theses

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14578/5

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    Web-based agri-fisheries e-commerce market system
    Sentillas, Angelito Jr. (Davao del Sur State College, 2024-06)
    This study delves into the conceptualization, development, and implementation of such systems, exploring their potential to connect farmers, fishermen, and consumers directly which addresses the ease of product marketing using the system with map integration. Furthermore, the project sought to provide a user-friendly, buyer homepage which displays all the products, allows the buyer to add products to cart, provides a map which displays all the store location and the routing, and enable the user to create its own shop. Additionally, it allows the seller to add and manage products, and manage orders. It also enables the super admin to manage users, categories, products, and tract the user logs. Moreover, the system has utilized the rapid application development methodology to develop the project. The project achieved its goal of successfully implemented e-commerce system where seller can sell their products and buyers to buy products they want with integrated mapping system where user can view store location and its routing from buyer to the store. This implementation helped our local farmers, fishermen, and consumers by providing a website that allows the user to buy and sell their product online. In addition, this promote a wide range of marketing which give a lot of advantage for both users. The findings and insights gained from the study contribute to advancement of web-based Agri-fisheries e-commerce system, offering practical guidance and recommendation for stakeholders in the agriculture and fisheries sectors.
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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.