Blueberry Orchard Delineation with High-Resolution Imagery and Self-Organizing Map Neural Image Classification

Abstract

Precision agriculture is defined as the observation, impact assessment, and the timely strategic response for remedy to minute variation in agricultural production [1]. Precision agriculture is applied in a wide range of agricultural activities such as crop production, dairy farming, horticulture, and forest management. Site-specific crop management (SSCM) is one important component of precision agriculture. The five main processes for a SSCM system are spatial referencing, crop and climate monitoring, attribute mapping, decision support system, and differential action. The process of potential management in crop production is better approached with the first step of data gathering at a spatial scale, i.e., spatial referencing of the crop field. Spatial referencing is performed with the use of geospatial technologies, such as remote sensing, geographic information system (GIS), and global positioning system (GPS).