"
Sensor-Based Algorithm for Mid-Season Nitrogen Application in Corn"
written by Ahmad Khalilian, Nicholas G. Rogers, Phillip B. Williams, Young J. Han, Ali Mirzakhani Nafchi, Joe Mari Maja, Michael W. Marshall, Jose O. Payero,
published by
Open Journal of Soil Science,
Vol.7 No.10, 2017
has been cited by the following article(s):
[1]
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[2]
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Development of an Automated Linear Move Fertigation System for Cotton Using Active Remote Sensing
AgriEngineering,
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DOI:10.3390/agriengineering4010022
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[3]
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Performance Assessment of a Sensor-Based Variable-Rate Real-Time Fertilizer Applicator for Rice Crop
Sustainability,
2022
DOI:10.3390/su141811209
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[4]
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Development of an Automated Linear Move Fertigation System for Cotton Using Active Remote Sensing
AgriEngineering,
2022
DOI:10.3390/agriengineering4010022
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[5]
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Performance Assessment of a Sensor-Based Variable-Rate Real-Time Fertilizer Applicator for Rice Crop
Sustainability,
2022
DOI:10.3390/su141811209
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[6]
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Site-specific nitrogen recommendations’ empirical algorithm for maize crop based on the fusion of soil and vegetation maps
Computers and Electronics in Agriculture,
2022
DOI:10.1016/j.compag.2022.107479
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[7]
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Site-specific nitrogen recommendations’ empirical algorithm for maize crop based on the fusion of soil and vegetation maps
Computers and Electronics in Agriculture,
2022
DOI:10.1016/j.compag.2022.107479
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[8]
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Site-specific nitrogen recommendations’ empirical algorithm for maize crop based on the fusion of soil and vegetation maps
Computers and Electronics in Agriculture,
2022
DOI:10.1016/j.compag.2022.107479
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[9]
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A scoping review of side-dress nitrogen recommendation systems and their perspectives in precision agriculture
Italian Journal of Agronomy,
2021
DOI:10.4081/ija.2021.1951
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