Identifying the Source of Water on Plant Using the Leaf Wetness Sensor and via Deep Learning-Based Ensemble Method-Reference-Cited by-同舟云学术

Identifying the Source of Water on Plant Using the Leaf Wetness Sensor and via Deep Learning-Based Ensemble Method

Published:2024-03-01 Issue:5 Volume:24 Page:7009-7017
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Saini Riya¹^ORCID,Garg Pooja¹^ORCID,Chaudhary Naveen Kumar²,Joshi Manjunath V.³^ORCID,Palaparthy Vinay S.¹^ORCID,Kumar Ahlad²^ORCID

Affiliation:

1. Department of Information and Communication Technology, System Design Laboratory, Dhirubhai Ambani Institute of Information and Communication Technology (DAIICT), Gandhinagar, Gujarat, India

2. School of Cyber Security and Digital Forensics, National Forensic Sciences University (NFSU), Gandhinagar, Gujarat, India

3. Dhirubhai Ambani Institute of Information and Communication Technology (DAIICT), Gandhinagar, Gujarat, India

Funder

Department of Science and Technology-The Gujarat Council on Science and Technology

IITI DRISHTI CPS Foundation IIT Indore and GUJCOST Government of Gujarat

CHANAKYA Fellowships of IITI DRISHTI CPS Foundation under the National Mission on Interdisciplinary Cyber Physical System (NM-ICPS) of Department of Science and Technology, Government of India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10453373/10381613.pdf?arnumber=10381613

Reference53 articles.

1. Significance of Botanicals for the Management of Plant Diseases

2. Potential strategies and future requirements for plant disease management under a changing climate

3. RiceTalk: Rice Blast Detection Using Internet of Things and Artificial Intelligence Technologies

4. A Deep Learning and Social IoT approach for Plants Disease Prediction toward a Sustainable Agriculture

5. IoT-Enabled IEEE 802.15.4 WSN Monitoring Infrastructure-Driven Fuzzy-Logic-Based Crop Pest Prediction

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