| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Assessing UAV-collected image overlap influence on computation time and digital surface model accuracy in olive orchards
|
Torres-Sánchez, Jorge
|
|
2017
|
19 |
1 |
p. 115-133
|
article
|
| 2 |
Canopy sensor placement for variable-rate nitrogen application in sugarcane fields
|
Amaral, Lucas R.
|
|
2017
|
19 |
1 |
p. 147-160
|
article
|
| 3 |
Curved and straight crop row detection by accumulation of green pixels from images in maize fields
|
García-Santillán, Iván
|
|
2017
|
19 |
1 |
p. 18-41
|
article
|
| 4 |
Estimation of water productivity in winter wheat using the AquaCrop model with field hyperspectral data
|
Jin, Xiuliang
|
|
2016
|
19 |
1 |
p. 1-17
|
article
|
| 5 |
Evaluating the performance of xanthophyll, chlorophyll and structure-sensitive spectral indices to detect water stress in five fruit tree species
|
Ballester, C.
|
|
2017
|
19 |
1 |
p. 178-193
|
article
|
| 6 |
Integrating remote sensing information with crop model to monitor wheat growth and yield based on simulation zone partitioning
|
Guo, Caili
|
|
2017
|
19 |
1 |
p. 55-78
|
article
|
| 7 |
Monitoring cotton (Gossypium hirsutum L.) germination using ultrahigh-resolution UAS images
|
Chen, Ruizhi
|
|
2017
|
19 |
1 |
p. 161-177
|
article
|
| 8 |
Nitrogen fertilizer recommendations based on plant sensing and Bayesian updating
|
McFadden, Brandon R.
|
|
2017
|
19 |
1 |
p. 79-92
|
article
|
| 9 |
Phenological analysis of unmanned aerial vehicle based time series of barley imagery with high temporal resolution
|
Burkart, A.
|
|
2017
|
19 |
1 |
p. 134-146
|
article
|
| 10 |
Predicting cover crop biomass by lightweight UAS-based RGB and NIR photography: an applied photogrammetric approach
|
Roth, Lukas
|
|
2017
|
19 |
1 |
p. 93-114
|
article
|
| 11 |
Understanding rat occurrences in oil palm plantation using high-resolution satellite image and GIS data
|
Phua, M.-H.
|
|
2017
|
19 |
1 |
p. 42-54
|
article
|
Journal description