Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Enhancing Precision Agriculture: IoT-Enabled Soil Nutrient Analysis and Deep Learning-Based Crop Recommendation Models

Amita Shukla

Communications on Applied Nonlinear Analysis · 2024

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Summary

The emergence of the Internet of Things (IoT) has brought about a revolution in a number of fields, most notably agriculture, where precision farming techniques that improve sustainability and production have been made possible. In the context of precision agriculture, this review paper focusses on the integration of IoT technology for crop recommendation models and soil nutrient analysis. Farmers can accurately determine nutrient requirements and levels by using real-time soil health monitoring made possible by IoT-enabled sensors and data analytics. This study conducts a thorough analysis of the body of research on the several Internet of Things applications that support efficient crop management and soil nutrient optimisation. It examines cutting-edge sensor technologies—such as spectro

Source type
Peer-reviewed study
DOI
10.52783/cana.v32.2588
Catalogue ID
NRmo9rin9c-0q1
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