Thermal imaging for identification of malfunctions in subsurface drip irrigation in orchards

No abstract is available for this paper.

• Publication year

  2024

• Venue

  Precision Agriculture

• Publication date

  2024-01-10

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1007/s11119-023-10104-x
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Agricultural engineering

  2022cited by this paper
• 40. Detection of irrigation malfunctions based on thermal imaging

  2021influential reference
• A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases

  2021cited by this paper
• Remote sensing and machine learning for crop water stress determination in various crops: a critical review

  2020influential reference
• The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

  2020cited by this paper
• Delineation of Tree Patches in a Mangrove-Marsh Transition Zone by Watershed Segmentation of Aerial Photographs

  2020cited by this paper
• Simplified Evaluation of Cotton Water Stress Using High Resolution Unmanned Aerial Vehicle Thermal Imagery

  2019cited by this paper
• An Overview of Overfitting and its Solutions

  2019cited by this paper
• Thermal imaging to monitor the crop-water status in almonds by using the non-water stress baselines

  2018cited by this paper
• Effects of Heterogeneity within Tree Crowns on Airborne-Quantified SIF and the CWSI as Indicators of Water Stress in the Context of Precision Agriculture

  2018cited by this paper
• The functional dependence of canopy conductance on water vapor pressure deficit revisited

  2018cited by this paper
• Improving Performance of Multiclass Classification by Inducing Class Hierarchies

  2017cited by this paper
• Recent advances in crop water stress detection

  2017cited by this paper
• An overview of current and potential applications of thermal remote sensing in precision agriculture

  2017cited by this paper
• Airborne Thermal Imagery to Detect the Seasonal Evolution of Crop Water Status in Peach, Nectarine and Saturn Peach Orchards

  2016cited by this paper
• Estimating maize water stress by standard deviation of canopy temperature in thermal imagery

  2016cited by this paper
• Characterization of salinity-induced effects in olive trees based on thermal imagery

  2015cited by this paper
• Automated detection of malfunctions in drip-irrigation systems using thermal remote sensing in vineyards and olive orchards

  2015cited by this paper
• Using high resolution UAV thermal imagery to assess the variability in the water status of five fruit tree species within a commercial orchard

  2013cited by this paper
• Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera

  2012cited by this paper
• Almond tree canopy temperature reveals intra-crown variability that is water stress-dependent

  2012cited by this paper
• Use of aerial thermal imaging to estimate water status of palm trees

  2012cited by this paper
• Almond tree canopy temperature reveals intra-crown variability that is water stress-dependent

  2011cited by this paper
• A study on continuous max-flow and min-cut approaches

  2010cited by this paper
• Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle

  2009influential reference
• Detection of water stress in an olive orchard with thermal remote sensing imagery

  2006cited by this paper
• Industrial engineering and management

  2002cited by this paper
• Growing more Food with less Water.

  2001cited by this paper
• Impact of a Confounding Variable on a Regression Coefficient

  2000cited by this paper
• Topographic distance and watershed lines

  1994cited by this paper
• SIGNAL PROCESSING Topographic distance and watershed lines

  1993cited by this paper
• Psychometric methods.

  1989cited by this paper
• Canopy temperature as a crop water stress indicator

  1981cited by this paper
• A Threshold Selection Method from Gray-Level Histograms

  1979cited by this paper

• Attention-enhanced hybrid deep learning model for robust mango leaf disease classification via ConvNeXt and vision transformer fusion

  2025cites this paper
• Application of machine learning to leakage detection of fluid pipelines in recent years: A review and prospect

  2025cites this paper
• End-to-end pipeline for simultaneous temperature estimation and super resolution of low-cost uncooled infrared camera frames for precision agriculture applications

  2025cites this paper
• Multimodal ensemble of UAV-borne hyperspectral, thermal, and RGB imagery to identify combined nitrogen and water deficiencies in field-grown sesame

  2025cites this paper
• Integrating sensor fusion with machine learning for comprehensive assessment of phenotypic traits and drought response in poplar species

  2025cites this paper
• Innovations in Sensor-Based Systems and Sustainable Energy Solutions for Smart Agriculture: A Review

  2025cites this paper
• Remote Irrigation Control Based on LoRa Technology and Fuzzy PID Algorithm

  2025cites this paper
• A Critical Review of Irrigation Water Quality Index and Water Quality Management Practices in Micro-Irrigation for Efficient Policy Making

  2024cites this paper