Iot Based Land and Crop Analysis System Using Landrover: DE
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Beschrijving
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The proposed IoT-based LANDROVER system effectively monitors soil and environmental parameters and predicts the most suitable crop using Raspberry Pi. By integrating sensors like DHT11, soil moisture, and Potassium, the system provides accurate real-time insights into land condition. The crop prediction module assists farmers in selecting the best crop, improving yield and sustainability. Blynk integration offers seamless remote monitoring, making LANDROVER a practical precision agriculture tool. The system is cost-effective, scalable, and holds potential for large-scale agricultural deployment.
Beschrijving
(2)
The proposed IoT-based LANDROVER system effectively monitors soil and environmental parameters and predicts the most suitable crop using Raspberry Pi. By integrating sensors like DHT11, soil moisture, and Potassium, the system provides accurate real-time insights into land condition. The crop prediction module assists farmers in selecting the best crop, improving yield and sustainability. Blynk integration offers seamless remote monitoring, making LANDROVER a practical precision agriculture tool. The system is cost-effective, scalable, and holds potential for large-scale agricultural deployment.
AmazonPages: 64, Paperback, Scholars' Press
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