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All Journal AGRIVITA, Journal of Agricultural Science
Tolentino, Lean Karlo S.
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Agriculture, Biological Sciences & Forestry

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Yield Evaluation of Brassica rapa, Lactuca sativa, and Brassica integrifolia Using Image Processing in an IoT-Based Aquaponics with Temperature-Controlled Greenhouse Tolentino, Lean Karlo S.; Fernandez, Edmon O.; Amora, Shayne Nathalie D.; Bartolata, Daniel Kristopher T.; Sarucam, Joshua Ricart V.; Sobrepeña, June Carlo L.; Sombol, Kristine Yvonne P.
AGRIVITA, Journal of Agricultural Science Vol 42, No 3 (2020)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v42i3.2600

Abstract

The paper introduced the development of a self-sustainable smart aquaponics system in a temperature-controlled greenhouse with a monitoring and automatic correction system using an Android device through the Internet of Things (IoT) and plant growth monitoring system through image processing using Raspberry Pi. The system involves the acquiring of real-time data detected by the light intensity sensor, and air temperature and humidity sensor. It also includes the monitoring of the pH level and temperature of the recirculating water of the system. If the acquired data is not within the threshold range, the correcting devices, namely grow lights, exhaust and inlet fans, evaporative cooler, aerator, and peristaltic buffer device were automatically triggered by the system to correct and achieve its normal status. The internet remote access includes the effective wireless transmission and reception of data reports between the system and an Android unit with the Android application in real-time. The study focused on the evaluation of two experimental set-ups comparing the plant growth between conventional soil-based farming and the smart aquaponics system using image processing. After data gathering, results showed that the smart aquaponics set-up successfully produced a yield better than the conventional farming set-up.
Autogation: An Alternate Wetting and Drying-Based Automatic Irrigation and Paddy Water Level Control System through Internet of Things Tolentino, Lean Karlo S.; Bacaltos, Patrick Carlos; Cruz, Rica Mikaela V.; Dela Cruz, Neal Jhon S.; Medina, Leah Ruth S.; Panergalin, John Vincent; Padilla, Maria Victoria C.; Velasco, Jessica S.
AGRIVITA, Journal of Agricultural Science Vol 43, No 3 (2021)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v43i3.2627

Abstract

This study aims to create an automated watering system that can adapt with network-based irrigation monitoring and a safe alternate wetting and drying or AWD. A secure AWD irrigation method is one in which the rice paddy is alternately subsided and immersed with a critical level of 100mm below the ground and a maximum irrigation level of 150 mm above the ground. The designed methodology automates irrigation by considering the needed water level in the field and its present level. It determines and controls the watering schedule based on the data collected by the sensors and then acts on it. It regulates the irrigation delivery gate to close or open the counterweight-designed water gate valve following the smart timetable that it has established. This approach conserved around 20% of the water used in a two-hectare area with four weirs compared to the traditional irrigation method in three weeks.
Co-Authors Amora, Shayne Nathalie D. Bacaltos, Patrick Carlos Bartolata, Daniel Kristopher T. Cruz, Rica Mikaela V. Dela Cruz, Neal Jhon S. Fernandez, Edmon O. Medina, Leah Ruth S. Padilla, Maria Victoria C. Panergalin, John Vincent Sarucam, Joshua Ricart V. Sobrepeña, June Carlo L. Sombol, Kristine Yvonne P. Velasco, Jessica S.