Application of spatio-temporal data in site-specific maize yield prediction with machine learning methods.
- Published in:
- Precision Agriculture, 2021, v. 22, n. 5, p. 1397, doi. 10.1007/s11119-021-09833-8
- By:
- Publication type:
- Article
Works matching IS 13852256 AND DT 2021 AND VI 22 AND IP 5
Results: 15
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Georeferenced tractor wheel slip data for prediction of spatial variability in soil physical properties.
- Published in:
- Precision Agriculture, 2021, v. 22, n. 5, p. 1659, doi. 10.1007/s11119-021-09805-y
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- Publication type:
- Article
3
Hyperspectral assessment of leaf nitrogen accumulation for winter wheat using different regression modeling.
- Published in:
- Precision Agriculture, 2021, v. 22, n. 5, p. 1634, doi. 10.1007/s11119-021-09804-z
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- Publication type:
- Article
4
Object-level classification of vegetable crops in 3D LiDAR point cloud using deep learning convolutional neural networks.
- Published in:
- Precision Agriculture, 2021, v. 22, n. 5, p. 1617, doi. 10.1007/s11119-021-09803-0
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- Publication type:
- Article
5
Assessment of design and analysis frameworks for on-farm experimentation through a simulation study of wheat yield in Japan.
- Published in:
- Precision Agriculture, 2021, v. 22, n. 5, p. 1601, doi. 10.1007/s11119-021-09802-1
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- Publication type:
- Article
6
Potential challenges to precision agriculture technologies development in Ghana: scientists' and cocoa extension agents' perspectives.
- Published in:
- Precision Agriculture, 2021, v. 22, n. 5, p. 1578, doi. 10.1007/s11119-021-09801-2
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- Publication type:
- Article
7
Analysing the number of images needed to create robust variable spray maps.
- Published in:
- Precision Agriculture, 2021, v. 22, n. 5, p. 1377, doi. 10.1007/s11119-021-09800-3
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- Publication type:
- Article
8
Sensitivity of soil electromagnetic induction measurements to salinity, water content, clay, organic matter and bulk density.
- Published in:
- Precision Agriculture, 2021, v. 22, n. 5, p. 1559, doi. 10.1007/s11119-021-09798-8
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- Publication type:
- Article
9
Surface reflectance calculation and predictive models of biophysical parameters of maize crop from RG-NIR sensor on board a UAV.
- Published in:
- Precision Agriculture, 2021, v. 22, n. 5, p. 1535, doi. 10.1007/s11119-021-09795-x
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- Publication type:
- Article
10
Local estimates of available water capacity and effect of measurement errors on the spatial estimates and their uncertainties.
- Published in:
- Precision Agriculture, 2021, v. 22, n. 5, p. 1521, doi. 10.1007/s11119-021-09794-y
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- Publication type:
- Article
11
Spatial estimation methods for mapping corn silage and grain yield monitor data.
- Published in:
- Precision Agriculture, 2021, v. 22, n. 5, p. 1501, doi. 10.1007/s11119-021-09793-z
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- Publication type:
- Article
12
Development and performance tests of an on-the-go detector of soil total nitrogen concentration based on near-infrared spectroscopy.
- Published in:
- Precision Agriculture, 2021, v. 22, n. 5, p. 1479, doi. 10.1007/s11119-021-09792-0
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- Publication type:
- Article
13
High-resolution satellite image to predict peanut maturity variability in commercial fields.
- Published in:
- Precision Agriculture, 2021, v. 22, n. 5, p. 1464, doi. 10.1007/s11119-021-09791-1
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- Publication type:
- Article
14
Forage yield and quality estimation by means of UAV and hyperspectral imaging.
- Published in:
- Precision Agriculture, 2021, v. 22, n. 5, p. 1437, doi. 10.1007/s11119-021-09790-2
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- Publication type:
- Article
15
Site‐specific nitrogen balances based on spatially variable soil and plant properties.
- Published in:
- Precision Agriculture, 2021, v. 22, n. 5, p. 1416, doi. 10.1007/s11119-021-09789-9
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- Publication type:
- Article