CNN-Based Rice Nitrogen Status Estimation Using UAV Integrated Multispectral Camera Images-Reference-Cited by-同舟云学术

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CNN-Based Rice Nitrogen Status Estimation Using UAV Integrated Multispectral Camera Images

Published:2023-11-24 Issue: Volume: Page:77-81
ISSN:
Container-title:2023 IEEE 3rd Applied Signal Processing Conference (ASPCON)
language:
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Author:

Saha Rituparna¹,Misra Sudip²,Chatterjee Chandranath³,Biswas Amit⁴

Affiliation:

1. Haldia Institute of Technology,Department of Computer Science and Engineering,India

2. Indian Institute of Technology,Department of Computer Science and Engineering,Kharagpur,India

3. Indian Institute of Technology,Department of Agricultural and Food Engineering,Kharagpur,India

4. Haldia Institute of Technology,Department of Agricultural Engineering,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10395916/10395934/10396333.pdf?arnumber=10396333

Reference10 articles.

1. From Observation to Information: Data-Driven Understanding of on Farm Yield Variation

2. Imaging analysis of chlorophyll fluorescence induction for monitoring plant water and nitrogen treatments

3. Wheat yield prediction using machine learning and advanced sensing techniques

4. Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning

5. Statistical and machine learning methods evaluated for incorporating soil and weather into corn nitrogen recommendations

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