Evaluation of water status of wheat genotypes to aid prediction of yield on sodic soils using UAV-thermal imaging and machine learning
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Evaluation of water status of wheat genotypes to aid prediction of yield on sodic soils using UAV-thermal imaging and machine learning
Authors
Keywords
Thermal remote sensing, Crop water stress, Classification and regression tree, Biomass yield, Grain yield, Sodic soils
Journal
AGRICULTURAL AND FOREST METEOROLOGY
Volume 307, Issue -, Pages 108477
Publisher
Elsevier BV
Online
2021-05-29
DOI
10.1016/j.agrformet.2021.108477
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- UAV-Thermal imaging and agglomerative hierarchical clustering techniques to evaluate and rank physiological performance of wheat genotypes on sodic soil
- (2021) Sumanta Das et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Applications of UAV Thermal Imagery in Precision Agriculture: State of the Art and Future Research Outlook
- (2020) Gaetano Messina et al. Remote Sensing
- Determination of Crop Water Stress Index by Infrared Thermometry in Grapefruit Trees Irrigated with Saline Reclaimed Water Combined with Deficit Irrigation
- (2019) Cristina Romero-Trigueros et al. Remote Sensing
- Challenges and Best Practices for Deriving Temperature Data from an Uncalibrated UAV Thermal Infrared Camera
- (2019) Julia Kelly et al. Remote Sensing
- Barley yield formation under abiotic stress depends on the interplay between flowering time genes and environmental cues
- (2019) Mathias Wiegmann et al. Scientific Reports
- Biostimulants Application in Horticultural Crops under Abiotic Stress Conditions
- (2019) Roberta Bulgari et al. Agronomy-Basel
- Maize Canopy Temperature Extracted From UAV Thermal and RGB Imagery and Its Application in Water Stress Monitoring
- (2019) Liyuan Zhang et al. Frontiers in Plant Science
- Potential Mechanisms of Abiotic Stress Tolerance in Crop Plants Induced by Thiourea
- (2019) Muhammad Ahmed Waqas et al. Frontiers in Plant Science
- A practical method using a network of fixed infrared sensors for estimating crop canopy conductance and evaporation rate
- (2018) Hamlyn G. Jones et al. BIOSYSTEMS ENGINEERING
- Engineering abiotic stress response in plants for biomass production
- (2018) Rohit Joshi et al. JOURNAL OF BIOLOGICAL CHEMISTRY
- Machine Learning in Agriculture: A Review
- (2018) Konstantinos Liakos et al. SENSORS
- Climate trends account for stalled wheat yields in Australia since 1990
- (2017) Zvi Hochman et al. GLOBAL CHANGE BIOLOGY
- Applying machine learning on sensor data for irrigation recommendations: revealing the agronomist’s tacit knowledge
- (2017) Anat Goldstein et al. PRECISION AGRICULTURE
- UAV-Based Thermal Imaging for High-Throughput Field Phenotyping of Black Poplar Response to Drought
- (2017) Riccardo Ludovisi et al. Frontiers in Plant Science
- Crop Production under Drought and Heat Stress: Plant Responses and Management Options
- (2017) Shah Fahad et al. Frontiers in Plant Science
- The potential of small-Unmanned Aircraft Systems for the rapid detection of threatened unimproved grassland communities using an Enhanced Normalized Difference Vegetation Index
- (2017) Conor J. Strong et al. PLoS One
- Estimating maize water stress by standard deviation of canopy temperature in thermal imagery
- (2016) Ming Han et al. AGRICULTURAL WATER MANAGEMENT
- Classification and Regression Tree (CART) analysis to predict influenza in primary care patients
- (2016) Richard K. Zimmerman et al. BMC INFECTIOUS DISEASES
- Daylight crop water stress index for continuous monitoring of water status in apple trees
- (2016) Yasin Osroosh et al. IRRIGATION SCIENCE
- Selecting Canopy Zones and Thresholding Approaches to Assess Grapevine Water Status by Using Aerial and Ground-Based Thermal Imaging
- (2016) Daniel Sepúlveda-Reyes et al. Remote Sensing
- Methodology for High-Throughput Field Phenotyping of Canopy Temperature Using Airborne Thermography
- (2016) David M. Deery et al. Frontiers in Plant Science
- Genetic Diversity in Barley and Wheat for Tolerance to Soil Constraints
- (2016) Yash Dang et al. Agronomy-Basel
- A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape
- (2015) Kennedy Were et al. ECOLOGICAL INDICATORS
- Scaling of Thermal Images at Different Spatial Resolution: The Mixed Pixel Problem
- (2014) Hamlyn Jones et al. Agronomy-Basel
- Yield stability for cereals in a changing climate
- (2013) Nicola Powell et al. FUNCTIONAL PLANT BIOLOGY
- Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?
- (2012) W. G. Touw et al. BRIEFINGS IN BIOINFORMATICS
- Applying Randomness Effectively Based on Random Forests for Classification Task of Datasets of Insufficient Information
- (2012) Hyontai Sug Journal of Applied Mathematics
- Infrared Thermometry to Estimate Crop Water Stress Index and Water Use of Irrigated Maize in Northeastern Colorado
- (2012) Saleh Taghvaeian et al. Remote Sensing
- Possible changes to arable crop yields by 2050
- (2010) K. W. Jaggard et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Evaluation of different approaches for estimating and mapping crop water status in cotton with thermal imaging
- (2009) V. Alchanatis et al. PRECISION AGRICULTURE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now