TY - GEN
T1 - Analysis and Simulation of an IoT System for Measuring Soil Moisture in Avocado Plantations
AU - Bustamante, Carlos
AU - Lopez, Felipe A.
AU - Bustamante-Encina, Ruben
AU - Fuentealba, Diego
AU - Gatica, Gustavo
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Modern technologies have benefited agriculture and are used in various agricultural activities, mainly irrigation, to mitigate water scarcity problems. Water scarcity is of particular concern in avocado cultivation due to its water-intensive nature. This study proposes the use of an Internet of Things (IoT) system for avocado cultivation to enable farmers to identify problems and take preventive measures, thus improving crop productivity. The IoT system used data collected from an avocado plantation in Chile. Factors affecting the yield of this crop were studied to validate the proposed system, in addition to simulating harvesting operations, thus demonstrating the relevance of this technology for modern agriculture. This study demonstrates the feasibility of using a low-cost IoT architecture in precision agriculture, thus improving its performance, as well as the importance of collecting data that affect this agriculture in order to support the development of crops through simulations. The conclusions show the need to create an ecosystem that allows the implementation of these technologies, which implies strengthening capacities in terms of knowledge and communication infrastructure, especially considering the rugged terrain of avocado plantations in Chile.
AB - Modern technologies have benefited agriculture and are used in various agricultural activities, mainly irrigation, to mitigate water scarcity problems. Water scarcity is of particular concern in avocado cultivation due to its water-intensive nature. This study proposes the use of an Internet of Things (IoT) system for avocado cultivation to enable farmers to identify problems and take preventive measures, thus improving crop productivity. The IoT system used data collected from an avocado plantation in Chile. Factors affecting the yield of this crop were studied to validate the proposed system, in addition to simulating harvesting operations, thus demonstrating the relevance of this technology for modern agriculture. This study demonstrates the feasibility of using a low-cost IoT architecture in precision agriculture, thus improving its performance, as well as the importance of collecting data that affect this agriculture in order to support the development of crops through simulations. The conclusions show the need to create an ecosystem that allows the implementation of these technologies, which implies strengthening capacities in terms of knowledge and communication infrastructure, especially considering the rugged terrain of avocado plantations in Chile.
KW - IoT Platform
KW - Precision Irrigation
KW - Smart Agriculture
KW - Smart Water Management
UR - http://www.scopus.com/inward/record.url?scp=85200777256&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-65285-1_1
DO - 10.1007/978-3-031-65285-1_1
M3 - Conference contribution
AN - SCOPUS:85200777256
SN - 9783031652844
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 3
EP - 17
BT - Computational Science and Its Applications – ICCSA 2024 Workshops, Proceedings
A2 - Gervasi, Osvaldo
A2 - Murgante, Beniamino
A2 - Garau, Chiara
A2 - Taniar, David
A2 - C. Rocha, Ana Maria A.
A2 - Faginas Lago, Maria Noelia
PB - Springer Science and Business Media Deutschland GmbH
T2 - 24th International Conference on Computational Science and Its Applications, ICCSA 2024
Y2 - 1 July 2024 through 4 July 2024
ER -