Article citationsMore>>

Johnson, L.F., Herwitz, S., Dunagan, S., Lobitz, B., Sullivan, D. and Slye, R. (2003) Collection of ultra high spatial and spectral resolution image data over California Vineyards with a small UAV. Proceedings of the Int’l Symposium on Remote Sensing of Environment. Earth Science Division, NASA Ames Research Center 242-4, Moffett Field.

has been cited by the following article:

• TITLE: Application of computer vision technology on raising sow and procreating of processing

  AUTHORS: Yun Yang

  KEYWORDS: Computer Vision System; Infrared Sensor; Image Processing; Raising Sow

  JOURNAL NAME: Agricultural Sciences, Vol.4 No.12, December 25, 2013

  ABSTRACT: This paper expounds the application of machine vision theory, composition and technology in the sow breeding process monitoring, auxiliary judgment, and growth of young monitoring. It also points out the problems and deficiency in the application of machine vision technology, and discusses the development trends and prospects of the machine vision technology in agricultural engineering. The application of machine vision is a process in which dynamic original image from the sows estrus is collected with a CCD camera, and then black and white ash three binarization image in adjournments of the threshold value is made by using image acquisition card, through the median filtering and gray processing. The practitioners can extract respective image information from the sow estrus, pregnancy and birth delivery. Applying the computer vision system in the sow farm effectively enhances the practitioners’ objectivity and precision in their efforts to assess the whole process of sow birth delivery.