System IoT-AI Based on Microclimate Disease Risk Index for Early Detection of Vanilla Plant Diseases
DOI:
https://doi.org/10.55681/armada.v4i3.1940Keywords:
Vanilla, Anomaly Detection, IoT-AIAbstract
The vanilla plant (Vanilla planifolia) is a high-value commodity, but it is highly susceptible to microclimatic fluctuations and disease attacks, especially stem and root rot closely related to Fusarium oxysporum f. sp. vanillae. A review of the literature also shows that temperature, humidity, and shade conditions affect vanilla growth, whereas conventional monitoring approaches often detect disease risk too late. This paper presents a systematic literature study with the help of Google Scholar-based Publish or Perish (PoP), enriched by targeted searches on ScienceDirect and Web of Science, and reported to follow the principles of PRISMA 2020. The synthesis results show that the integration of IoT, microclimate sensors, and AI has the potential to form a more precise Early Warning System through the MDRI index, which is a weighted risk score that collects parameters of temperature, relative humidity, VPD, light intensity, soil moisture, and history of daily conditions. Conceptually, MDRI can be applied to edge devices to provide early warnings, recommendations for cultivation actions, and the basis for data-driven decision-making. This paper emphasizes that the IoT–AI approach is not just a monitoring tool, but the foundation of an adaptive and sustainable vanilla disease risk management system.
Downloads
References
Harzing, A.-W. (n.d.). Publish or Perish user's manual: Google Scholar data source; Web of Science data source. Harzing.com. https://harzing.com/resources/publish-or-perish/manual
Jackulin, C., & Murugavalli, S. (2022). A comprehensive review on detection of plant disease using artificial intelligence. Smart Agricultural Technology, 2, Article 100041. https://doi.org/10.1016/j.atech.2022.100041
Mosedale, J. R., Maclean, I. M. D., & Suggitt, A. J. (2024). Mechanistic microclimate models and plant pest risk modelling. Agricultural and Forest Meteorology, 345, Article 109854. https://doi.org/10.1016/j.agrformet.2023.109854
Newlands, N. K. (2018). Model-based forecasting of agricultural crop disease risk at the regional scale. Frontiers in Environmental Science, 6, Article 158. https://doi.org/10.3389/fenvs.2018.00158
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372(n71). https://doi.org/10.1136/bmj.n71
Parada-Molina, P. C., Jarquín-Enríquez, L., & Hernández-Ortíz, E. (2022). Climatic and microclimatic conditions of vanilla cultivation systems. Agronomía Mesoamericana, 33(2), Article 46467. https://doi.org/10.15517/am.v33i2.46467
Rajak, P., Ganguly, A., Adhikary, S., & Bhattacharya, S. (2023). Internet of Things and smart sensors in agriculture: Scopes and challenges. Smart Agricultural Technology, 4, Article 100176. https://doi.org/10.1016/j.atech.2023.100176
Ramírez-Mosqueda, M. A., Iglesias-Andreu, L. G., & Armas-Conde, R. (2015). In vitro phytotoxicity of culture filtrates of Fusarium oxysporum f. sp. vanillae on Vanilla planifolia plantlets. Scientia Horticulturae, 192, 265–270. https://doi.org/10.1016/j.scienta.2015.06.017
Sujatha, S., Bhat, R., Balasimha, D., & Haris, A. A. (2010). Response of vanilla (Vanilla planifolia A.) intercropped in arecanut plantations. Scientia Horticulturae, 124(2), 273–278. https://doi.org/10.1016/j.scienta.2010.01.002
Yuliana, Y., Himawan, A., & Kristalisasi, E. N. (2022). Identification of endophytic fungi on healthy and diseased stems of vanilla plants (Vanilla planifolia) caused by stem rot disease. JUATIKA: Jurnal Ilmiah Pertanian, 4(2), 118–127.
Adedeji, J., Akhigbe, O. T., & Babalola, O. O. (2020). Vanilla planifolia: Cultivation, curing, and future prospects in the flavor industry. Food Reviews International, 36(8), 785-802. https://doi.org/10.1080/87559129.2019.1670155
Jackulin, C., & Murugavalli, S. (2022). A comprehensive review on detection of plant disease using artificial intelligence. Smart Agricultural Technology, 2, 100041. https://doi.org/10.1016/j.atech.2022.100041
Koyyappurath, S., Atuahiva, T., Le Guen, R., Batina, H., Le Squin, S., Gautheron, N., ... & Grisoni, M. (2016). Differential responses of vanilla accessions to root rot spikes (Fusarium oxysporum f. sp. vanillae). Plant Pathology, 65(3), 366-378. https://doi.org/10.1111/ppa.12415
Parada-Molina, P. C., Jarquín-Enríquez, L., & Hernández-Ortíz, E. (2022). Climatic and microclimatic conditions of vanilla cultivation systems. Agronomía Mesoamericana, 33(2), 46467. https://doi.org/10.15517/am.v33i2.46467
Rajak, P., Ganguly, A., Adhikary, S., & Bhattacharya, S. (2023). Internet of Things and smart sensors in agriculture: Scopes and challenges. Smart Agricultural Technology, 4, 100176. https://doi.org/10.1016/j.atech.2023.100176
Ramírez-Mosqueda, M. A., Iglesias-Andreu, L. G., & Armas-Conde, R. (2015). In vitro phytotoxicity of culture filtrates of Fusarium oxysporum f. sp. vanillae on Vanilla planifolia plantlets. Scientia Horticulturae, 192, 265-270. https://doi.org/10.1016/j.scienta.2015.06.017
Sujatha, S., Bhat, R., Balasimha, D., & Haris, A. A. (2010). Response of vanilla (Vanilla planifolia A.) intercropped in arecanut plantations. Scientia Horticulturae, 124(2), 273-278. https://doi.org/10.1016/j.scienta.2010.01.002
Yuliana, Y., Himawan, A., & Kristalisasi, E. N. (2022). Identification of endophytic fungi on healthy and diseased stems of vanilla plants (Vanilla planifolia) caused by stem rot disease. JUATIKA: Jurnal Ilmiah Pertanian, 4(2), 118-127.
Harzing, A.-W. (n.d.). Publish or Perish user's manual: Google Scholar data source; Web of Science data source. Harzing.com. https://harzing.com/resources/publish-or-perish/manual
Newlands, N. K. (2018). Model-based forecasting of agricultural crop disease risk at the regional scale. Frontiers in Environmental Science, 6, 158. https://doi.org/10.3389/fenvs.2018.00158
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372(n71). https://doi.org/10.1136/bmj.n71
Sujatha, S., Bhat, R., Balasimha, D., & Haris, A. A. (2010). Response of vanilla (Vanilla planifolia A.) intercropped in arecanut plantations. Scientia Horticulturae, 124(2), 273–278. https://doi.org/10.1016/j.scienta.2010.01.002
Yuliana, Y., Himawan, A., & Kristalisasi, E. N. (2022). Identification of endophytic fungi on healthy and diseased stems of vanilla plants (Vanilla planifolia) caused by stem rot disease. JUATIKA: Jurnal Ilmiah Pertanian, 4(2), 118–127.
Jackulin, C., & Murugavalli, S. (2022). A comprehensive review on detection of plant disease using artificial intelligence. Smart Agricultural Technology, 2, Article 100041. https://doi.org/10.1016/j.atech.2022.100041
Parada-Molina, P. C., Jarquín-Enríquez, L., & Hernández-Ortíz, E. (2022). Climatic and microclimatic conditions of vanilla cultivation systems. Agronomía Mesoamericana, 33(2), Article 46467. https://doi.org/10.15517/am.v33i2.46467
Rajak, P., Ganguly, A., Adhikary, S., & Bhattacharya, S. (2023). Internet of Things and smart sensors in agriculture: Scopes and challenges. Smart Agricultural Technology, 4, Article 100176. https://doi.org/10.1016/j.atech.2023.100176
Sujatha, S., Bhat, R., Balasimha, D., & Haris, A. A. (2010). Response of vanilla (Vanilla planifolia A.) intercropped in arecanut plantations. Scientia Horticulturae, 124(2), 273–278. https://doi.org/10.1016/j.scienta.2010.01.002
Mosedale, J. R., Maclean, I. M. D., & Suggitt, A. J. (2024). Mechanistic microclimate models and plant pest risk modelling. Agricultural and Forest Meteorology, 345, Article 109854. https://doi.org/10.1016/j.agrformet.2023.109854
Rajak, P., Ganguly, A., Adhikary, S., & Bhattacharya, S. (2023). Internet of Things and smart sensors in agriculture: Scopes and challenges. Smart Agricultural Technology, 4, Article 100176. https://doi.org/10.1016/j.atech.2023.100176
Yuliana, Y., Himawan, A., & Kristalisasi, E. N. (2022). Identification of endophytic fungi on healthy and diseased stems of vanilla plants (Vanilla planifolia) caused by stem rot disease. JUATIKA: Jurnal Ilmiah Pertanian, 4(2), 118–127.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 ARMADA : Jurnal Penelitian Multidisiplin
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
