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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Dr. M. Aravind Kumar obtained B. Tech Degree in ECE, M.Tech Degree in VLSI System Design from JNTUH, and Ph.D. from GITAM University, Visakhapatnam. He has 15 years of teaching experience. He is a Life member of FIE, ISTE, IETE, SCIEI, UACEE, and IAENG. He Published 45 Research Papers in refereed Journals and Conferences.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. IOT BASED LAND AND CROP ANALYSIS SYSTEM USING LANDROVER | M. Aravind Kumar (u. a.) | Taschenbuch | Englisch | 2026 | Scholars' Press | EAN 9786209969751 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Artikel-Nr. 135659413
Anzahl: 5 verfügbar