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Bakhshipour, A. and Jafari, A. (2018) Evaluation of Support Vector Machine and Artificial Neural Networks in Weed Detection Using Shape Features. Computers and Electronics in Agriculture, 145, 153-160.
https://doi.org/10.1016/j.compag.2017.12.032

has been cited by the following article:

• TITLE: An Industrial Internet Platform for Massive Pig Farming (IIP4MPF)

  AUTHORS: Mu Gu, Baocun Hou, Jiehan Zhou, Kai Cao, Xiaoshuang Chen, Congcong Duan

  KEYWORDS: Massive Pig Farming, Industrial Internet Platform

  JOURNAL NAME: Journal of Computer and Communications, Vol.8 No.12, December 30, 2020

  ABSTRACT: Pig farming is becoming a key industry of China’s rural economy in recent years. The current pig farming is still relatively manual, lack of latest Information and Communication Technology (ICT) and scientific management methods. This paper proposes an industrial internet platform for massive pig farming, namely, IIP4MPF, which aims to leverage intelligent pig breeding, production rate and labor productivity with the use of artificial intelligence, the Internet of Things, and big data intelligence. We conducted requirement analysis for IIP4MPF using software engineering methods, designed the IIP4MPF system for an integrated solution to digital, interconnected, intelligent pig farming. The practice demonstrates that the IIP4MPF platform significantly improves pig farming industry in pig breeding and productivity.