An IoT-enabled AI system for real-time crop prediction using soil and weather data in precision agriculture

An IoT-enabled AI system for real-time crop prediction using soil and weather data in precision agriculture

Context: Precision agriculture leverages advanced technologies such as the Internet of Things (IoT) and artificial intelligence (AI) to enhance crop productivity by providing data-driven insights. In Bangladesh, optimizing crop recommendations using real-time soil and environmental data is crucial f...

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Bibliographic Details
Main Authors: MD Shaifullah Sharafat, Nilavro Das Kabya, Rahimul Islam Emu, Mehrab Uddin Ahmed, Jakaria Chowdhury Onik, Mohammad Aminul Islam, Riasat Khan
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Smart Agricultural Technology
Subjects:
Crop recommendation
Ensemble model
Precision agriculture
Smart irrigation
ThingsBoard cloud
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525004940
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