Abstract: Accurate rose counting in floral production environments is a major challenge in the agricultural industry due to the costly and error-prone nature of traditional methods. This study ...

ABSTRACT: This paper presents a theoretical framework for parallelizing the FD3 algorithm, which estimates the capacity, information, and correlation dimensions of chaotic time series using the ...

Abstract: This article proposes a new deep learning-based method for rice plant counting (RiceNet). The method consists of a feature extractor and three feature decoding modules, which are density map ...