Aerial Remote Sensing System for Agriculture

Dear Colleagues,

Remote Sensing technologies in precision agriculture have increased exponentially in recent decades. The unprecedented availability of spectral sensors has promoted the use of aerial remote sensing systems in many applications in agriculture, including pest and disease management, irrigation management, nutrient application, and yield prediction. The great advantage of this technology over traditional crop monitoring methods is the rapid and continuous data collection, allowing farmers, researchers and rural professionals to better understand the field studied, having this information in real-time or in a relatively short time data processing.

However, new challenges have also emerged, as the aerial remote sensing systems generate a large volume of spectral data due to the high spatial, spectral and temporal resolutions indispensable for the application in precision agriculture. In view of this, it has been necessary to use data processing techniques, such as big data analysis, artificial intelligence, deep learning, machine learning and other intelligent technologies, to extract useful information from the large volume of data and assist in the decision process for field crops.

This Special Edition is intended for a global research community involved in data analysis and processing and developing innovative aerial remote sensing system solutions for agriculture. Contributions may include, but are not limited to: UAS applied in the detection of pests and diseases, weeds, estimation of planted area and productivity, monitoring of plant health, detection of failures in irrigation, fertilization or soil preparation, analysis of coverage vegetation, topography, drainage and soil type, spectral data analysis, hyperspectral, multispectral and thermal image processing and UAV design for agricultural uses.

Dr. Giuseppe Rossi
Prof. Dr. Gabriel Araújo e Silva Ferraz
Dr. Leonardo Conti
Dr. Diego Bedin Marin
Guest Editors

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