Integrating IoT sensors and machine learning for sustainable precision agroecology: enhancing crop resilience and resource efficiency through data-driven strategies, challenges, and future prospects
The integration of Internet of Things (IoT) sensors and Machine Learning (ML) technologies has transformed precision agriculture by enabling data-driven, adaptive, and efficient farming practices. IoT sensors provide continuous, high-resolution monitoring of critical agricultural parameters, including soil health, crop growth, and environmental conditions. Coupled with advanced ML algorithms, this data facilitates predictive analytics and real-time decision-making, optimizing resource utilizatio
Record details
Published: 26 May 2025
Source: OpenAlex
Category: Research
Topics: Healthcare · Environment
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (26 May 2025), “Integrating IoT sensors and machine learning for sustainable precision agroecology: enhancing crop resilience and resource efficiency through data-driven strategies, challenges, and future prospects,” evidence record 9820, https://ethics.ai/record/9820 (originally published by OpenAlex).
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