A Wireless data acquisition system for soil erosion measurement in sloping hillside. 6

By: Katherine Naomi E. De Villa, Lila Dane I. Guiruela, Creio HJoachim S. Ritualo, Creio Joachim S. Ritualo. 4 0 16, [, ] | [, ] |
Contributor(s): 5 6 [] |
Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; 4544446Edition: Description: Content type: text Media type: unmediated Carrier type: volumeISBN: ISSN: 2Other title: 6 []Uniform titles: | | Related works: 1 40 6 []Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- 20 -- | | -- -- -- -- 20 -- | -- -- -- 20 -- --Genre/Form: -- 2 -- Additional physical formats: DDC classification: | LOC classification: | | 2Other classification:
Contents:
Action note: In: Summary: ABSTRACT: A Wireless Data Acquisition System for Soil Erosion Measuring in Sloping Hillsides utilizes the Revised Universal Soil Loss Equation (RUSLE) model to acquire the soil erosion rate of a specific location. This study aims to provide an insightful instrument for assessing and monitoring soil erosion. The device uses sensors and government data to acquire the soil erosion rate. Through the use of LoRa, the system is capable of transferring acquired data from the device to the recipient and store. The study was conducted in a 2-day controlled test which consisted of 10 trials in each condition: no rain and with erosive rain and another 30 trials for three conditions: > 10 mm rain; steep slope, > 10 mm rain; gentle slope, and < 10 mm rain and steep slope. A simulated rainfall using a sprinkler was applied to test for conditions of erosive rain. Gage R&R Crossed Study was used as a statistical tool and method to determine if the acquired values for soil erosion rate were either deemed precise or acceptable. All the conditions were computed using the tool, with values of 7.29%, 18.71%, 19.7%, 6.5%, and 5.6%, respectively. In the Gage R&R Crossed Study conditions, results with 0-10% values can be classified as precise, while results with 10-30% can be classified as acceptable but need improvement. Other editions:
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Undergraduate Thesis : (Bachelor of Science in Electronics Engineering) - Pamantasan ng Lungsod ng Maynila, 2024. 56

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ABSTRACT: A Wireless Data Acquisition System for Soil Erosion Measuring in Sloping Hillsides utilizes the Revised Universal Soil Loss Equation (RUSLE) model to acquire the soil erosion rate of a specific location. This study aims to provide an insightful instrument for assessing and monitoring soil erosion. The device uses sensors and government data to acquire the soil erosion rate. Through the use of LoRa, the system is capable of transferring acquired data from the device to the recipient and store. The study was conducted in a 2-day controlled test which consisted of 10 trials in each condition: no rain and with erosive rain and another 30 trials for three conditions: > 10 mm rain; steep slope, > 10 mm rain; gentle slope, and < 10 mm rain and steep slope. A simulated rainfall using a sprinkler was applied to test for conditions of erosive rain. Gage R&R Crossed Study was used as a statistical tool and method to determine if the acquired values for soil erosion rate were either deemed precise or acceptable. All the conditions were computed using the tool, with values of 7.29%, 18.71%, 19.7%, 6.5%, and 5.6%, respectively. In the Gage R&R Crossed Study conditions, results with 0-10% values can be classified as precise, while results with 10-30% can be classified as acceptable but need improvement.

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