Issue Date
10-2024
Abstract
Losses due to inefficiencies in farm management and operations are some of the major problems encountered in farm production, especially for high value crops. To address these inefficiencies, farm management practices must lean towards a more data-driven decision making by employing smart and accurate technology interventions. The emergence of technologies such as the Internet of Things (IoT) and big data management helped push precision agriculture further by giving it better data collection, management, and more efficient communication protocols. In the case of tomato production, losses due to farm management inefficiencies were one of the problems observed in a prior needs assessment and technology intervention studies conducted. Particularly, inefficiencies in irrigation and fertilizer application were observed to be major problems in tomato production. The study aimed to address these problems by developing a smart system that can monitor and control irrigation and fertilizer application in tomato production. The sensors were calibrated for actual field conditions. For the light dependent resistor data of the sensor pole against actual light intensity, a hyperbolic function with R2 value of 0.9973 was observed, while for photosynthetic photon flux density (PPFD) against light intensity, a linear function with R2 value of 0.9995 was observed. Meanwhile, the resistive soil moisture value from the sensor against the actual gravimetric soil moisture values had a 2nd order polynomial function with an R2 value of 0.974. Moreover, hydraulic performance evaluation experiments were conducted for the developed fertigation system where it was classified to have good to excellent performance based on coefficient of variation (CV), coefficient of uniformity (CU), and emission uniformity (EU).
Source or Periodical Title
UP Los Baños Journal
Volume
22
Issue
1
Page
1-20
Document Type
Article
College
College of Engineering and Agro-Industrial Technology (CEAT)
Recommended Citation
Ampo, Mel Vincent A.; Castro, Jasper Adrian Dwight V.; Ramoso, John Paolo A.; Ilang-Ilang, Melvin C.; Rodulfo, Victor A. Jr.; del Rosario, Alexis C.; Reyes, Daneille Drew; and de Guzman, Jiah Jamil R., "Design and development of a sensor and actuator network prototype for monitoring and control of growth parameters for high value crops" (2024). Journal Article. 6061.
https://www.ukdr.uplb.edu.ph/journal-articles/6061