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A Model for Identifying Soybean Growth Periods Based on Multi-Source Sensors and Improved Convolutional Neural Network.

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Title: A Model for Identifying Soybean Growth Periods Based on Multi-Source Sensors and Improved Convolutional Neural Network.
Authors: Li, Jinyang1,2 (AUTHOR), Li, Qingda1 (AUTHOR), Yu, Chuntao1,2 (AUTHOR), He, Yan1,2 (AUTHOR), Qi, Liqiang1,2 (AUTHOR), Shi, Wenqiang1,2 (AUTHOR), Zhang, Wei1,2,3 (AUTHOR) zhang66wei@126.com
Source: Agronomy. Dec2022, Vol. 12 Issue 12, p2991. 12p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
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  Data: A Model for Identifying Soybean Growth Periods Based on Multi-Source Sensors and Improved Convolutional Neural Network.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Jinyang%22">Li, Jinyang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Qingda%22">Li, Qingda</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Chuntao%22">Yu, Chuntao</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22He%2C+Yan%22">He, Yan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qi%2C+Liqiang%22">Qi, Liqiang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shi%2C+Wenqiang%22">Shi, Wenqiang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Wei%22">Zhang, Wei</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> zhang66wei@126.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Agronomy%22">Agronomy</searchLink>. Dec2022, Vol. 12 Issue 12, p2991. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=160942789
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/agronomy12122991
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      – Code: eng
        Text: English
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        StartPage: 2991
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      – TitleFull: A Model for Identifying Soybean Growth Periods Based on Multi-Source Sensors and Improved Convolutional Neural Network.
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            – D: 01
              M: 12
              Text: Dec2022
              Type: published
              Y: 2022
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