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Undergraduate Theses

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

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Department: search.filters.department.Institute of Computing, Engineering and TechnologySDG: search.filters.sdg.SDG 2 - Zero hunger

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    Estimation of potato (Solanum tuberosum) evapotranspiration using blaney-criddle method in Sitio Gagpang, Brgy. Alegre, Bansalan, Davao del Sur
    Dico, Joshua Cedrick (Davao del Sur State College, 2024-01)
    This research study aimed to estimate potato (Solanum tuberosum) evapotranspiration using the Blaney-Criddle method in Sitio Gagpang, Brgy. Alegre, Bansalan, Davao del Sur. The study collected temperature data from February to April 2022 and computed the reference evapotranspiration (ETo) and crop evapotranspiration (ETc) across different growth stages of the potato crop. Results show that the mean monthly temperature in the study area is suitable for potato planting, falling within the range of 15 to 20 C. The study also found that potato plants require significant water, and the computed ETo values of 5 mm/day, 4.98 mm/day, and 5.1 mm/day were within the range of water requirements for potato cultivation. Furthermore, the ETc of the potato crop varied across its growth stages, with the highest ETc in the reproductive stage. The findings can guide farmers in managing their irrigation practices and maximizing crop yields. Future studies may continue the investigation to the months beyond April or explore other irrigation systems that could be implemented in the study area. Overall, this study provides valuable information on potato crop evapotranspiration rates in Sitio Gagpang, Brgy. Alegre, Bansalan, Davao del Sur, and can aid in improving potato farming practices in the study area.
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    Nutritional and sensory attributes of banana coffee produced from cavendish banana (Musa cavendishii) flesh at different maturity stage
    Itang, Kris Caresza Kate C. (Davao del Sur State College, 2024-06)
    This study was conducted to utilized and process rejected cavendish banana fruits into coffee. Sensory evaluation (Aroma, Texture, Color, and General Acceptability), Nutritional Analysis (Protein, Fat, Fiber, Ash, and carbohydrates), and Microbial Analysis in terms of bacterial and fungi count were performed to assess the quality and characteristics of the banana coffee and were analyzed using T-test. In the overall rating, T2 got higher mean rating percentage of Aroma (3.26%), Texture (4.2%), Color (4.106%), and the General Acceptability parameter with 3.36%. For proximate analysis, T1 got higher content percentage in terms of protein (3.742%), Fiber (2.21%), and Ash (5.5%), and T2 for carbohydrates (86.8%) and Fat (5.6%). In microbial analysis, both treatments got equal bacterial count (total plate count) of <1.1 cfu/g however, T2 contained less yeast and molds count (fungi count) of 4.7 x 10 (2) cfu/g present in the composite sample. Based on the T-test result, only aroma difference was not statistically significant while texture, color, and general acceptability showed significant difference. Hence, this study still needs more modification in order to enhance the quality of processing cavendish banana into coffee.
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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.