Analysis of Hydroponic System Crop Yield Prediction and Crop IoT-based monitoring system for precision agriculture

Author:

M Sathanapriya1,Devi R. Prameela2,Sandhya C.3,Pokuru Anil4,HabeeburRahman T.5,Jose Bibin K6,Gadde Samata7

Affiliation:

1. Karpagam Academy of Higher Education,Department of Commerce,Coimbatore

2. CVR College of Engineering,Department of ECE,Hyderabad,Telangana

3. S.A.Engineering College,Dept of Management of Science,Chennai

4. Information Technology, Software,Hyderabad,India

5. Islamiah College (Autonomous),Vaniyambadi

6. Alappuzha (University of Kerala),Sanatana Dharma College,Department of Mathematics,India

7. AcharyaNagarjuna University,Department of Bio Technology,Nagarjuna Nagar,Guntur,522510

Publisher

IEEE

Reference17 articles.

1. Quasi-distributed fiber Bragg grating array sensor for furnace applications;reddy;Photo Sensor,2022

2. Toward ontology-based risk management framework for software projects: an empirical study;abioye;Journal of Software: Evolution and Process,2020

3. An Ontology-Based Security Risk Management Model for Information Systems

4. MANFIS based SMART home energy management system to support SMART grid;gk;Peer-to-Peer Networking and Applications,2020

5. Architectural Design, Improvement, and Challenges of Distributed Software-Defined Wireless Sensor Networks

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2. Advancing Precision Agriculture: Leveraging YOLOv8 for Robust Deep Learning Enabled Crop Diseases Detection;2023 International Conference on Integration of Computational Intelligent System (ICICIS);2023-11-01

3. A Hybrid Data Acquisition Model for Precision Agriculture using IoT, Engineering Nanomaterials and Artificial Intelligence;2023 7th International Conference on Trends in Electronics and Informatics (ICOEI);2023-04-11

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5. Power quality improvement for hybrid AC/DC with grid connected control;IV INTERNATIONAL SCIENTIFIC FORUM ON COMPUTER AND ENERGY SCIENCES (WFCES II 2022);2023

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