A. Hornero

Crop water stress maps for an entire growing season from visible and thermal UAV imagery

Google Earth Engine: A Global Analysis and Future Trends

A review of UAV monitoring in mining areas: current status and future perspectives

Machine learning in agriculture domain: A state-of-art survey

Crop yield prediction using machine learning: A systematic literature review

Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives

Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production

Beat the stress: breeding for climate resilience in maize for the tropical rainfed environments

Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges

Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest

Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review

Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective

Soybean yield prediction from UAV using multimodal data fusion and deep learning

What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?

Plant Disease Recognition Model Based on Improved YOLOv5

Computer vision technology in agricultural automation —A review

UAV RTK/PPK Method—An Optimal Solution for Mapping Inaccessible Forested Areas?

Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk

Estimating Forest Stock Volume in Hunan Province, China, by Integrating In Situ Plot Data, Sentinel-2 Images, and Linear and Machine Learning Regression Models

Comparison of UAV photograph-based and airborne lidar-based point clouds over forest from a forestry application perspective

Global maize production, consumption and trade: trends and R&D implications

Advances in Plant Disease Detection and Monitoring: From Traditional Assays to In-Field Diagnostics

Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States

Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities

A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data

Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize

Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline

A Novel Remote Sensing Approach for Prediction of Maize Yield Under Different Conditions of Nitrogen Fertilization

Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations

Monitoring the incidence of Xylella fastidiosa infection in olive orchards using ground-based evaluations, airborne imaging spectroscopy and Sentinel-2 time series through 3-D radiative transfer modelling

Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis