相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Ground-Based Thermal Imaging for Assessing Crop Water Status in Grapevines over a Growing Season
Zheng Zhou et al.
AGRONOMY-BASEL (2022)
Spatiotemporal normalized ratio methodology to evaluate the impact of field-scale variable rate application
L. Katz et al.
PRECISION AGRICULTURE (2022)
Assessing the impact of measurement errors in the calculation of CWSI for characterizing the water status of several crop species
V Gonzalez-Dugo et al.
IRRIGATION SCIENCE (2022)
A new color index for vegetation segmentation and classification
Moon-Kyu Lee et al.
PRECISION AGRICULTURE (2021)
Assessment for crop water stress with infrared thermal imagery in precision agriculture: A review and future prospects for deep learning applications
Zheng Zhou et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)
In-Season Interactions between Vine Vigor, Water Status and Wine Quality in Terrain-Based Management-Zones in a 'Cabernet Sauvignon' Vineyard
Idan Bahat et al.
REMOTE SENSING (2021)
Intelligent Fruit Yield Estimation for Orchards Using Deep Learning Based Semantic Segmentation Techniques-A Review
Prabhakar Maheswari et al.
FRONTIERS IN PLANT SCIENCE (2021)
Deep learning based multi-temporal crop classification
Liheng Zhong et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Simplified Evaluation of Cotton Water Stress Using High Resolution Unmanned Aerial Vehicle Thermal Imagery
Jiang Bian et al.
REMOTE SENSING (2019)
Economical thermal-RGB imaging system for monitoring agricultural crops
Yasin Osroosh et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Effects of Heterogeneity within Tree Crowns on Airborne-Quantified SIF and the CWSI as Indicators of Water Stress in the Context of Precision Agriculture
Carlos Camino et al.
REMOTE SENSING (2018)
Mapping water status based on aerial thermal imagery: comparison of methodologies for upscaling from a single leaf to commercial fields
Y. Cohen et al.
PRECISION AGRICULTURE (2017)
Adaptive Estimation of Crop Water Stress in Nectarine and Peach Orchards Using High-Resolution Imagery from an Unmanned Aerial Vehicle (UAV)
Suyoung Park et al.
REMOTE SENSING (2017)
Assessing a crop water stress index derived from aerial thermal imaging and infrared thermometry in super-high density olive orchards
Gregorio Egea et al.
AGRICULTURAL WATER MANAGEMENT (2017)
A survey of image processing techniques for plant extraction and segmentation in the field
Esmael Hamuda et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2016)
Improving the precision of irrigation in a pistachio farm using an unmanned airborne thermal system
V. Gonzalez-Dugo et al.
IRRIGATION SCIENCE (2015)
Crop water stress index derived from multi-year ground and aerial thermal images as an indicator of potato water status
Ronit Rud et al.
PRECISION AGRICULTURE (2014)
An insight to the performance of crop water stress index for olive trees
N. Agam et al.
AGRICULTURAL WATER MANAGEMENT (2013)
Foliage temperature extraction from thermal imagery for crop water stress determination
M. Meron et al.
PRECISION AGRICULTURE (2013)
Using high resolution UAV thermal imagery to assess the variability in the water status of five fruit tree species within a commercial orchard
V. Gonzalez-Dugo et al.
PRECISION AGRICULTURE (2013)
Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV)
Javier Baluja et al.
IRRIGATION SCIENCE (2012)
Use of aerial thermal imaging to estimate water status of palm trees
Y. Cohen et al.
PRECISION AGRICULTURE (2012)
Crop water stress mapping for site-specific irrigation by thermal imagery and artificial reference surfaces
M. Meron et al.
PRECISION AGRICULTURE (2010)
Estimation of leaf water potential by thermal imagery and spatial analysis
Y Cohen et al.
JOURNAL OF EXPERIMENTAL BOTANY (2005)