Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems

Year : 2026 | Volume : 15 | Issue : 02 | Page : 17 26
    By

    David Sunday Araoti,

  1. Independent Researcher, Policy Practitioner / AI & Governance Specialist, Ogbomosho, Oyo State, Nigeria

Abstract

Rapid environmental change driven by climate variability, urbanization, and ecological degradation has intensified the need for innovative monitoring systems capable of providing real-time ecological intelligence. Traditional environmental monitoring methods often rely on satellite imaging and stationary sensors, which may lack fine-scale biological sensitivity. In contrast, insects—due to their abundance, ecological diversity, and rapid responsiveness to environmental shifts—offer a powerful yet underutilized source of bio-sensing data. This paper introduces the concept of Entomo-Analytics, an interdisciplinary framework that integrates insect behavioral patterns with artificial intelligence (AI) and environmental data systems to enhance climate-smart monitoring. The framework conceptualizes insects as dynamic biological sensors whose movement, migration, reproduction, and population dynamics reflect changes in temperature, humidity, pollution levels, and ecosystem stability. By leveraging machine learning algorithms, these biological signals can be transformed into predictive models for environmental risk detection and ecological forecasting. The study proposes a multi-layered system that combines entomological data acquisition, AI-based pattern recognition, and environmental decision-support mechanisms. It further explores the application of low-cost digital sensing technologies, including computer vision, IoT-enabled traps, and acoustic monitoring systems, to capture insect-related ecological data in real time. Findings from the conceptual analysis suggest that Entomo-Analytics can significantly enhance early detection of environmental disruptions, improve agricultural forecasting, and support biodiversity conservation strategies. However, challenges such as data standardization, ecological variability, and ethical considerations in bio-monitoring systems must be addressed. The paper contributes to the emerging field of bio-digital convergence by positioning insects as scalable, living indicators of environmental change. It argues that integrating biological intelligence with computational systems offers a novel pathway for strengthening climate resilience, particularly in regions vulnerable to environmental instability.

Keywords: Entomo-analytics, insect intelligence, climate monitoring, biodiversity, environmental sensing, ecological forecasting

[This article belongs to Research and Reviews : Journal of Crop science and Technology ]

How to cite this article:
David Sunday Araoti. Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems. Research and Reviews : Journal of Crop science and Technology. 2026; 15(02):17-26.
How to cite this URL:
David Sunday Araoti. Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems. Research and Reviews : Journal of Crop science and Technology. 2026; 15(02):17-26. Available from: https://journals.stmjournals.com/rrjocst/article=2026/view=250221


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Regular Issue Subscription Original Research
Volume 15
Issue 02
Received 23/04/2026
Accepted 03/05/2026
Published 18/07/2026
Publication Time 86 Days
36

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