Accurate wheat ear counting is one of the key indicators for wheat phenotyping.Convolutional neural network (CNN) algorithms for counting wheat have evolved into sophisticated tools, however because of the limitations of sensory fields, CNN is unable to simulate global context information, which has an impact on counting performance.In this study,
Since the 2000s, the demand for enhancing the quality of life of Korean apartment complexes has led to the development of units with diverse outdoor spaces.Analyzing these complexes requires detailed layout data, which are challenging to obtain from construction drawings.This study addresses this issue using the Roboflow map API to collect data bas
This paper deals with dynamic industry scheduling problem in agri-food production.The decision-making study in this paper is articulated around the management of perishable products ALMOND FLOUR under constrained resources.The scheduling of logistics operations is considered at the operational level.Two metaheuristics are proposed to solve dynamic
Thomas Sühn,1 Moritz Bucket Hat Spiller,1 Rutuja Salvi,2 Stefan Hellwig,2 Axel Boese,1 Alfredo Illanes,1 Michael Friebe1 1INKA - Innovation Laboratory for Image Guided Therapy, Medizinische Fakultät, Otto-Von-Guericke-Universität, Magdeburg, Sachsen-Anhalt, Germany; 2IDTM GmbH, Castrop-Rauxel, Nordrhein-Westfalen, GermanyCorresponden