Neural network system for recognition and visualization of problem areas of crops in precision farming: justification of application and aspects of implementation

Abstract The problem of recognizing the state and visualization areas crops in precision farming includes agrobiological, optical-spectral, mathematical-algorithmic other aspects. difficulties arising process analyzing classifying images remote monitoring necessitate development adaptation methods their computer analysis using neural network algorithms. results study showed that most effective approach to image classification is a combination preprocessing followed by recognition algorithms for rapid identification defective various nature.