01676nam a2200181 a 450000100080000000500110000800800410001902400380006010000240009824501310012226001020025330000120035552010370036765300200140465300210142465300290144570000200147421355202022-06-09       2021    bl uuuu     u00u1 u    #d7 a10.1109/ICSC50631.2021.000722DOI1 aVERAMENDI, W. N. C.  aAlgorithm for the countering maize plants based on UAV, digital image processing and semantic modeling.h[electronic resource]  aIn: IEEE International Conference on Semantic Computing (ICSC), 15th, Laguna Hills, CA, USAc2021  a393-397  aWith the need to increase agricultural production and to avoid loss, this paper presents the development of a new method for counting plants of maize in an agricultural field using spectral images obtained by an UAV, as well as digital processing and semantic modeling techniques. The method is based on the use of the Circular Hough Transform (CHT) in conjunction with the techniques of Backmapping, neighborhood analysis, and a classification of patterns. Both the supper vector machines (SVM) and the neural networks (NN) methods have been evaluated for the classification procedure. Besides„ using a computational environment for simulation, previous results have been obtained, i.e., showing not only the usefulness of the direct measures but also an automatic way for the plants identification, counting and height determination of the planted maize. Also, the establishment of a friendly interface has been carried out, which allows the monitoring of the phenological phases involved in the stages of the maize cultivation.  aHough Transform  aImage Processing  aSemantic Decision Making1 aCRUVINEL, P. E.