Publicado:
2024-10-03Número:
Vol. 18 Núm. 2 (2024)Sección:
Visión InvestigadoraIntelligent System for Integrated Pest Management in Agriculture: An electronic approach to Sustainable Farming
Sistema inteligente para el manejo integrado de plagas en cultivos: Un enfoque electrónico para una Agricultura Sostenible
Palabras clave:
Electronic Pest Detection, Integrated Pest Management, Intelligent Agent, Internet of Things, Wireless Sensor Network (en).Palabras clave:
Detección Electrónica de Plagas, Manejo Integrado de Plagas, Agente Inteligente, Internet de las Cosas, Red de sensores inalámbricos (es).Descargas
Resumen (en)
Pest control is an essential activity in agriculture to ensure optimal crop performance and prevent threats. In this context, Integrated Pest Management (IPM) emerges as a strategy to manage crops, lawns, or indoor spaces, curbing the pest proliferation. This article introduces a novel approach to automated integrated pest management by combining the rational behavior of intelligent agents with Internet of Things (IoT) technologies. The design and implementation of a cyber-physical system based on the concept of intelligent agents for integrated pest management in crops are presented. The system allows real-time data acquisition through electronic traps connected to a wireless sensor network based on LoRaWAN™, a low-power, wide-area network protocol built upon LoRa™ radio modulation. Communication, hardware, and software systems are developed, encompassing both on-site and remote monitoring from other locations through a central Internet-connected station. The developed system allows efficient space-time monitoring of pests and insects, enabling the identification and localization of infestation hotspots in the field. This precise and focused detection capability reduces the need for widespread treatments, optimizing resource usage, and minimizing environmental impact. This cyber-physical system represents a significant advancement in integrated pest management, providing a technological and sustainable solution to enhance agricultural productivity and contribute to more efficient and responsible agriculture.
Resumen (es)
El manejo de plagas es una actividad esencial en la agricultura para garantizar el óptimo rendimiento de los cultivos y evitar amenazas. En este contexto, el manejo integrado de plagas se presenta como una estrategia para administrar de manera efectiva el cultivo, el césped o el espacio interior, previniendo la proliferación de plagas. Este artículo introduce un enfoque novedoso para el manejo automático integrado de plagas mediante la combinación del comportamiento racional de agentes inteligentes y las tecnologías de Internet de las cosas (IoT). Se presenta el diseño e implementación de un sistema ciberfísico basado en el concepto de agente inteligente para el manejo integrado de plagas en cultivos. El sistema permite la adquisición de información en tiempo real mediante trampas electrónicas conectadas a una red de sensores inalámbricos basada en LoRaWAN™, un protocolo de red de área amplia y baja potencia construido sobre la técnica de modulación de radio LoRa™. Se detallan los desarrollos de los sistemas de comunicación, hardware y software, y se aborda el monitoreo tanto en sitio o granja como de forma remota desde otras ubicaciones a través de una estación central conectada a Internet. El sistema desarrollado posibilita un monitoreo espacio-temporal eficiente de plagas e insectos, para la identificación y localización de focos de infestación en el campo. Esta capacidad de detección precisa y focalizada reduce la necesidad de aplicar tratamientos en toda el área, optimizando el uso de recursos y minimizando el impacto ambiental. La implementación de este sistema ciber-físico representa un avance significativo en el manejo integrado de plagas, ofreciendo una solución tecnológica y sostenible para mejorar la productividad agrícola y contribuir a una agricultura más eficiente y responsable.
Referencias
J. Lamichhane, J. Aubertot, G. Begg, A. Birch, P. Boonekamp, S. Dachbrodt, J. Grønbech, M. Hovmøller, J. Jensen, L. Jørgensen, J. Kiss, P. Kudsk, A. Moonen, J. Rasplus, M. Sattin, J. Streito, A. Messéan, “Networking of integrated pest management: A powerful approach to address common challenges in agriculture”, J. Crop Protection, vol. 89, no. 1, pp. 139-151, 2016. https://doi.org/10.1016/j.cropro.2016.07.011
S. Azfar, A. Nadeem, A. Basit, “Pest detection and control techniques using wireless sensor network: a review”, J. Entomology and Zoology Studies, vol 3, no. 2, pp. 92-99, Jan. 2015.
J. Pretty, Z. Bharucha, “Integrated pest management for sustainable intensification of agriculture in Asia and Africa”, Insects, vol 6, no. 1, pp. 152-182, Mar. 2015. https://doi.org/10.3390/insects6010152
D. Arcega, W. Lee, C. Lu, Y. Wu, P. Shih, S. Chen, J. Chung, T. Lin, “Edge-based wireless imaging system for continuous monitoring of insect pests in a remote outdoor mango orchard”, Computers and Electronics in Agriculture, vol 211, no. 108019, 2023. https://doi.org/10.1016/j.compag.2023
H. Zhang, T. Islam, W. Lio, “Integrated pest management programme for cereal blast fungus Magnaporthe oryzae”, J. Integrative Agriculture, vol 21, no. 12, pp. 3420-3433. 2022. https://doi.org/10.1016/j.jia.2022.08.056
D. Rustia, L. Chiu, C. Lu, Y. Wu, S. Chen, J. Chung, J. Hsu, T. Lin, “Towards intelligent and integrated pest management through an AIoT-based monitoring system”, Pest. Manage. Sci., vol 78, no. 10, pp. 4288–4302, 2022. https://doi.org/10.1002/ps.7048
I. Ahmad and K. Pothuganti, "Smart Field Monitoring using ToxTrac: A Cyber-Physical System Approach in Agriculture", 2020 International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, pp. 723-727, 2020. https://doi.org/10.1109/ICOSEC49089.2020.9215282
S. Cecchi, S. Spinsante, A. Terenzi, S. Orcioni, “A Smart Sensor-Based Measurement System for Advanced Bee Hive Monitoring”, Sensors, vol 20, no. 2726, pp. 1-20, 2020. https://doi.org/10.3390/s20092726
F. Murphy, M. Magno, P. Whelan and E. Vici, "b+WSN: Smart beehive for agriculture, environmental, and honey bee health monitoring — Preliminary results and analysis," 2015 IEEE Sensors Applications Symposium (SAS), Zadar, Croatia, pp. 1-6, 2020. https://doi.org/10.1109/SAS.2015.7133587
P. Saha, V. Kumar, S. Kathuria, A. Gehlot, V. Pachouri and A. S. Duggal, “Precision Agriculture Using Internet of Things and Wireless Sensor Networks”, 2023 International Conference on Disruptive Technologies (ICDT), Greater Noida, India, pp. 519-522, 2023. https://doi.org/10.1109/ICDT57929.2023.10150678
R. Singh, R. Berkvens and M. Weyn, “Energy Efficient Wireless Communication for IoT Enabled Greenhouses”, 2020 International Conference on COMmunication Systems & NETworkS (COMSNETS), Bengaluru, India, pp. 885-887, 2020. https://doi.org/10.1109/COMSNETS48256.2020.9027392
F. Kiani and A. Seyyedabbasi, “Wireless Sensor Network and Internet of Things in Precision Agriculture”, International Journal of Advanced Computer Science and Applications, vol 9, no. 6, pp. 99-103, 2018. https://doi.org/10.14569/IJACSA.2018.090614
O. Savale, A. Managave, D. Ambekar, S. Sathe, “Internet of Things in Precision Agriculture using Wireless Sensor Networks”, International Journal Of Advanced Engineering & Innovative Technology, vol 2, no. 3, pp. 1-4, Dec. 2015.
A. Sawant, J. Adinarayana and S. Durbha, “KrishiSense: A semantically aware web enabled wireless sensor network system for precision agriculture applications”, 2014 IEEE Geoscience and Remote Sensing Symposium, Quebec City, QC, Canada, pp. 4090-4093, 2014. https://doi.org/10.1109/IGARSS.2014.6947385
C. Prakash, L. Singh, A. Gupta, S. Lohan, “Advancements in smart farming: A comprehensive review of IoT, wireless communication, sensors, and hardware for agricultural automation”, Sensors and Actuators A: Physical, vol 362, no. 114605, pp. 1-25, 2023. https://doi.org/10.1016/j.sna.2023.114605
H. Jawad, R. Nordin, S. Gharghan, A. Jawad, M. Ismail, “Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review”, Sensors, vol 17, no. 1781, pp. 1-4, 2017. https://doi.org/10.3390/s17081781
E. Avşar, N. Mowla, “Wireless communication protocols in smart agriculture: A review on applications, challenges and future trends”, Ad Hoc Networks, vol 136, no. 102982, pp. 1-25, 2022. https://doi.org/10.1016/j.adhoc.2022.102982
V. Starčević, M. Simić, V. Risojević and Z. Babić, “Integrated video-based bee counting and multi-sensors platform for remote bee yard monitoring”, 21st International Symposium INFOTEH-JAHORINA (INFOTEH), East Sarajevo, Bosnia and Herzegovina, pp. 1-6, 2022. https://doi.org/10.1109/INFOTEH53737.2022.9751284
H. Remli, K. Wan, N. Ismail, A. González, J. Corchado, M. Mohamad, “Recent Advancements and Challenges of AIoT Application in Smart Agriculture: A Review”, Sensors, vol 23, no. 7, pp. 1-22, 2023. https://doi.org/10.3390/s23073752
S. Qazi, B. Khawaja and Q. U. Farooq, “IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends”, in IEEE Access, vol 10, pp. 21219-21235, 2022. https://doi.org/10.1109/ACCESS.2022.3152544
A. AlZubi and K. Galyna, “Artificial Intelligence and Internet of Things for Sustainable Farming and Smart Agriculture”, in IEEE Access, vol 11, pp. 78686-78692, 2023. https://doi.org/10.1109/ACCESS.2023.3298215
G. Sagar, B. Aastha, K. Laxman, “An introduction of fall armyworm (Spodoptera frugiperda) with management strategies: a review paper”, Nippon Journal of Environmental Science, vol 1, no. 1010, pp. 1-12, 2020. https://doi.org/10.46266/njes.1010
C. Nicolas, B. Naila and R. Amar, “Energy efficient Firmware Over The Air Update for TinyML models in LoRaWAN agricultural networks”, 2022 32nd International Telecommunication Networks and Applications Conference (ITNAC), Wellington, New Zealand, pp. 21-27, 2022. https://doi.org/10.1109/ITNAC55475.2022.9998338
B. Miles, E. Bourennane, S. Boucherkha, S. Chikhi, “A study of LoRaWAN protocol performance for IoT applications in smart agriculture”, Computer Communications, vol. 164, pp. 148-157, 2020. https://doi.org/10.1016/j.comcom.2020.10.009
D. Davcev, K. Mitreski, S. Trajkovic, V. Nikolovski and N. Koteli, “IoT agriculture system based on LoRaWAN”, 2018 14th IEEE International Workshop on Factory Communication Systems (WFCS), Imperia, Italy, pp. 1-4, 2018. https://doi.org/10.1109/WFCS.2018.8402368
J. Tovar, C. Pareja, O. García, L. Gutiérrez, “Performance evaluation of LoRa technology for implementation in rural areas”, Dyna, vol 88, no. 216, pp. 69-78, Feb. 2021. https://doi.org/10.15446/dyna.v88n216.88258
P. Supanirattisai, K. Pimpin, W. Srituravanich and N. Damrongplasit, “Smart Agriculture Monitoring and Management System using IoT-enabled Devices based on LoRaWAN”, 2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Phuket, Thailand, pp. 679-682, 2022. https://doi.org/10.1109/ITC-CSCC55581.2022.9894956
Cómo citar
APA
ACM
ACS
ABNT
Chicago
Harvard
IEEE
MLA
Turabian
Vancouver
Descargar cita
Visitas
Descargas
Licencia
Derechos de autor 2024 Visión electrónica
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
.png)
atribución- no comercial 4.0 International
.jpg)
