Recently, the growing use of unmanned aerial vehicles (UAV) for pesticide application has
been reported against a wide range of crops with promising results in East Asian countries …

The knowledge of the spatiotemporal dynamics of pathogens and their vectors is an
important step in determining the pathogen dispersion pattern and the role of vectors in …

Multispectral aerial and satellite remote sensing plays a major role in crop yield prediction
due to its ability to detect crop growth conditions on spatial and temporal scales in a cost …

Inspired by Krige'variogram and the multi-channel filtering theory for human vision
information processing, this paper proposes a novel algorithm for segmenting the textures …

Analysis and modeling of spatial data are of considerable interest in many applications.
However, the prediction of geographical features from a set of chemical measurements on a …

Crop growth diagnosis or evaluation mainly relies on field survey, manual sampling and
biochemical analysis in the laboratory. It is difficult to master the real spatial variance …

For solving network bandwidth, and security problems, image compression, and encryption
technologies need to be combined. This paper presents two techniques for real-time …

This book will help readers to understand the concepts of computational intelligence in
automation industries, industrial IoT (IIOT), cognitive systems, data science, and Ecommerce …

Due to the technology development in the field of drones, multispectral analysis and remote
sensing promise its support in the agriculture-related activities in terms of analysis and …

Cognitive radio systems aim to take advantage of the spatiotemporal empty spectrum
without causing harmful interference towards the primary network by utilizing knowledge of …