Soil Moisture Detection for Precision Agriculture using Deep Learning Techniques-Reference-Cited by-同舟云学术

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Soil Moisture Detection for Precision Agriculture using Deep Learning Techniques

Published:2024-05-02 Issue: Volume: Page:677-682
ISSN:
Container-title:2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)
language:
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Author:

Nahak Pradeep¹,Agarwal Ankush²,Pratihar Dilip Kumar¹,Deb Alok Kanti³

Affiliation:

1. Indian Institute of Technology,Department of Mechanical Engineering,Kharagpur,India

2. Indian Institute of Technology,Department of Civil Engineering,Kharagpur,India

3. Indian Institute of Technology,Department of Electrical Engineering,Kharagpur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550186/10550954/10551030.pdf?arnumber=10551030

Reference16 articles.

1. A Novel Python Program to Automate Soil Colour Analysis and Interpret Surface Moisture Content

2. A Comparison of Algorithms for Retrieving Soil Moisture from ENVISAT/ASAR Images

3. A Convolutional Neural Network Algorithm for Soil Moisture Prediction from Sentinel-1 SAR Images

4. Estimation and evaluation of high spatial resolution surface soil moisture using multi-sensor multi-resolution approach

5. Soil Moisture Retrieval from Airborne Multispectral and Infrared Images using Convolutional Neural Network

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