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IoT-enabled agronomic systems: Real-time field intelligence for smarter farming

International Journal of Research in Agronomy · 2025 · Vol. 8(6S) · pp. 182–191

Abstract

The convergence of Internet of Things (IoT) technology with modern agronomic science is redefining how crops are produced, managed, and marketed. IoT-enabled agronomic systems integrate networks of sensors, actuators, connectivity modules, and cloud-based analytics to generate real-time field intelligence. This intelligence supports precision interventions—from irrigation scheduling and nutrient management to disease prediction and autonomous operations—across agronomic crops, fruit orchards, vegetable fields, floriculture units, and medicinal-aromatic plantations. Drawing on the latest global and Indian data, historical milestones, and cross-disciplinary research, this article reviews the principles, applications, economic-environmental impacts, and future directions of IoT in agriculture. Original case studies from India, the Netherlands, Israel, and Brazil illustrate both opportunities and continuing challenges.

Smart Agriculture and AIField (mathematics)AgricultureInternet of ThingsComputer scienceData scienceAgricultural engineeringEngineeringGeographyWorld Wide WebMathematics
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field-weighted impact
References
53
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11%
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