Predicting Water Stress in Wild Blueberry Fields Using Airborne Visible and Near Infrared Imaging Spectroscopy

Climate Change Patterns of Wild Blueberry Fields in Downeast, Maine over the Past 40 Years

(2021) Rafa Tasnim et al.   Water

A Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements

(2020) Lucas Prado Osco et al.   Remote Sensing

Hyperspectral remote sensing of grapevine drought stress

(2019) M. Zovko et al.   PRECISION AGRICULTURE

Machine Learning Techniques for Tree Species Classification Using Co-Registered LiDAR and Hyperspectral Data

(2019) Julia Marrs et al.   Remote Sensing

Estimation of vegetation water content using hyperspectral vegetation indices: a comparison of crop water indicators in response to water stress treatments for summer maize

(2019) F. Zhang et al.   BMC ECOLOGY

Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring

(2019) Xiangyu Ge et al.   PeerJ

Hyperspectral Imaging in Environmental Monitoring: A Review of Recent Developments and Technological Advances in Compact Field Deployable Systems

(2019) Stuart et al.   SENSORS

Hyperspectral-based Estimation of Leaf Nitrogen Content in Corn Using Optimal Selection of Multiple Spectral Variables

(2019) Fan et al.   SENSORS

Field Spectroscopy: A Non-Destructive Technique for Estimating Water Status in Vineyards

(2019) Ana Belén González-Fernández et al.   Agronomy-Basel

Unoccupied Aircraft Systems in Marine Science and Conservation

(2018) David W. Johnston   Annual Review of Marine Science

Cross-polarized VNIR hyperspectral reflectance imaging for non-destructive quality evaluation of dried banana slices, drying process monitoring and control

(2018) Nghia Nguyen-Do-Trong et al.   JOURNAL OF FOOD ENGINEERING

Random Forest Variable Importance Spectral Indices Scheme for Burnt Forest Recovery Monitoring—Multilevel RF-VIMP

(2018) Sornkitja Boonprong et al.   Remote Sensing

A remote sensing technique for detecting laurel wilt disease in avocado in presence of other biotic and abiotic stresses

(2018) Jaafar Abdulridha et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Evaluation of crop water stress index and leaf water potential for deficit irrigation management of sprinkler-irrigated wheat

(2018) Adnan Alghory et al.   IRRIGATION SCIENCE

Hyperspectral-based predictive modelling of grapevine water status in the Portuguese Douro wine region

(2017) Isabel Pôças et al.   International Journal of Applied Earth Observation and Geoinformation

Visualization research of moisture content in leaf lettuce leaves based on WT-PLSR and hyperspectral imaging technology

(2017) Xin Zhou et al.   JOURNAL OF FOOD PROCESS ENGINEERING

Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective

(2017) Stefan Thomas et al.   Journal of Plant Diseases and Protection

ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

(2017) Marvin N. Wright et al.   Journal of Statistical Software

UAV-Based Thermal Imaging for High-Throughput Field Phenotyping of Black Poplar Response to Drought

(2017) Riccardo Ludovisi et al.   Frontiers in Plant Science

Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications

(2017) Jinru Xue et al.   Journal of Sensors

High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models

(2017) Gerald Forkuor et al.   PLoS One

Investigating the Utility of Oblique Tree-Based Ensembles for the Classification of Hyperspectral Data

(2016) Nitesh Poona et al.   SENSORS

Remote sensing big data computing: Challenges and opportunities

(2015) Yan Ma et al.   Future Generation Computer Systems-The International Journal of eScience

Advances in remote sensing of vegetation function and traits

(2015) Rasmus Houborg et al.   International Journal of Applied Earth Observation and Geoinformation

Combining leaf physiology, hyperspectral imaging and partial least squares-regression (PLS-R) for grapevine water status assessment

(2015) Tal Rapaport et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Potential to monitor plant stress using remote sensing tools

(2015) Abel Ramoelo et al.   JOURNAL OF ARID ENVIRONMENTS

The divining root: moisture-driven responses of roots at the micro- and macro-scale

(2015) Neil E. Robbins et al.   JOURNAL OF EXPERIMENTAL BOTANY

Estimation of crop LAI using hyperspectral vegetation indices and a hybrid inversion method

(2015) Liang Liang et al.   REMOTE SENSING OF ENVIRONMENT

Early Detection and Quantification of Verticillium Wilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas

(2015) Rocío Calderón et al.   Remote Sensing

Remote Estimation of Leaf and Canopy Water Content in Winter Wheat with Different Vertical Distribution of Water-Related Properties

(2015) Shishi Liu et al.   Remote Sensing

Spectral resampling based on user-defined inter-band correlation filter: C3 and C4 grass species classification

(2012) Clement Adjorlolo et al.   International Journal of Applied Earth Observation and Geoinformation

Response of Wild Blueberry Yield to Spatial Variability of Soil Properties

(2011) Aitazaz A. Farooque et al.   SOIL SCIENCE

Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance

(2010) T. Rumpf et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment

(2010) Barbara Koch   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Multi-sensor plant imaging: Towards the development of a stress-catalogue

(2009) Laury Chaerle et al.   Biotechnology Journal

Understanding water deficit stress-induced changes in the basic metabolism of higher plants – biotechnologically and sustainably improving agriculture and the ecoenvironment in arid regions of the globe

(2009) Hong-Bo Shao et al.   CRITICAL REVIEWS IN BIOTECHNOLOGY