Fabio Castaldi

Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet

Airborne and spaceborne remote sensing for archaeological and cultural heritage applications: A review of the century (1907–2017)

Retrieval of the canopy chlorophyll content from Sentinel-2 spectral bands to estimate nitrogen uptake in intensive winter wheat cropping systems

Crop yield prediction using machine learning: A systematic literature review

Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture

High-Throughput Plant Phenotyping for Developing Novel Biostimulants: From Lab to Field or From Field to Lab?

Advancement of Remote Sensing for Soil Measurements and Applications: A Comprehensive Review

Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon: Effects of fractional-order derivative and optimal band combination algorithm

Assimilation of remote sensing into crop growth models: Current status and perspectives

Degraded land detection by soil particle composition derived from multispectral remote sensing data in the Otindag Sandy Lands of China

Grey fuzzy prediction model of soil organic matter content using hyper-spectral data

An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery

Coverage Path Planning Optimization of Heterogeneous UAVs Group for Precision Agriculture

Estimating Wheat Yield in China at the Field and District Scale from the Assimilation of Satellite Data into the Aquacrop and Simple Algorithm for Yield (SAFY) Models

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

Commentary on the review articles of spectroscopy technology combined with chemometrics in the last three years

A systematic literature review on machine learning applications for sustainable agriculture supply chain performance

Computer vision technology in agricultural automation —A review

Advanced Modelling of Soil Organic Carbon Content in Coal Mining Areas Using Integrated Spectral Analysis: A Dengcao Coal Mine Case Study

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

Combating desertification in China: Monitoring, control, management and revegetation

Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture

Field-level crop yield mapping with Landsat using a hierarchical data assimilation approach

Potential of Hyperspectral Remote Sensing for Field Scale Soil Mapping and Precision Agriculture Applications

Sensitivity analysis of the Aquacrop and SAFYE crop models for the assessment of water limited winter wheat yield in regional scale applications

A data fusion and spatial data analysis approach for the estimation of wheat grain nitrogen uptake from satellite data

Reducing the Influence of Soil Moisture on the Estimation of Clay from Hyperspectral Data: A Case Study Using Simulated PRISMA Data

Assessing the potential of images from unmanned aerial vehicles (UAV) to support herbicide patch spraying in maize

Chlorophyll estimation in field crops: an assessment of handheld leaf meters and spectral reflectance measurements

Geophysical and Hyperspectral Data Fusion Techniques for In‐Field Estimation of Soil Properties

Influence of acquisition time and resolution on wheat yield estimation at the field scale from canopy biophysical variables retrieved from SPOT satellite data

A comparison of sensor resolution and calibration strategies for soil texture estimation from hyperspectral remote sensing

Soil Organic Carbon Estimation in Croplands by Hyperspectral Remote APEX Data Using the LUCAS Topsoil Database

Evaluation of the potential of the current and forthcoming multispectral and hyperspectral imagers to estimate soil texture and organic carbon

Mapping Soil Organic Carbon for Airborne and Simulated EnMAP Imagery Using the LUCAS Soil Database and a Local PLSR

Mathematical techniques to remove moisture effects from visible–near-infrared–shortwave-infrared soil spectra—review 

Evaluating the capability of the Sentinel 2 data for soil organic carbon prediction in croplands