Undergraduate Theses
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14578/5
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Item Estimation of potato (Solanum tuberosum) evapotranspiration using blaney-criddle method in Sitio Gagpang, Brgy. Alegre, Bansalan, Davao del SurDico, 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.Item The value chain analysis of vegetables in Bansalan, Davao del SurSollano, John Doery L. (Davao del Sur State College, 2024-06)Several studies have shown that vegetables have high market potential and contribute substantially to household incomes and nutrition, The resurgence of vegetables' importance in human nutrition is accompanied by a need to understand the interactions among various actors in their value chain to determine ways to add value to produce and improve marketing efficiency. However, the study was conducted to determine the value chain analysis of vegetables by identifying the factors of value chain and the constraints that the vegetables farmers experienced by the vegetables farmers, the study was conducted in Bansalan, Davao del Sur but conduces only on 5 major contribute of common 5 vegetables products that consider as highest major contributor on income where as; Alegre, Balutakay, Bonifacio, Sto. Nino and Darapuay and for the vegetables where as Cabbage, carrot, bell pepper, tomato and raddish. Majority of the respondents were males, married, fall under the age gap of 31-45 years old with a high school level of educational attainment, and had a experience in farming of 11 years and above also had a income generated of 11,000-15,000. The highest mean scores, with a rating of 4.87, suggest that demand and sales analyses are frequently emphasized in the value chain analysis within the community of vegetable farmers. The demand analysis registering at 4.95 of the vegetables value chain, that the quantity of purchases is consistently very high. The highest mean rating, at 4.92, signifies that the selling price is clear and frequently noticed in the process of selling vegetables. The constraints such as credit issues, shortages of required chemicals, government policies, and intense competition with unlicensed traders are commonly observed in the vegetables value chain with a highest mean of 4.44.Item Automated misting and android-based monitoring system for oyster mushroom (Pleurotus SP.) productionCabrera, 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.