1. Mao, H., Xu, G.: Identification the deficit of tomato nutrient elements based on computer vision. Transactions of the Chinese Society for Agriculture Machinery 34, 73–75 (2003)
2. Tian, Y., Li, T., Li, C., et al.: Method for recognition of grape disease based on support vector machine. Transactions of the CSAE 23, 175–179 (2007)
3. Camargo, A., Smith, J.S.: Image pattern classification for the identification of disease causing agents in plants. Computers and Electronics in Agriculture 66, 121–125 (2009)
4. Cen, Z., Li, B., Shi, Y., et al.: Discrimination of cucumber anthracnose and cucumber brown speck based on color image statistical characteristics. Acta Horticulturae Sinica 34, 1425–1430 (2007)
5. Zhang, Z., Wang, Y., Xue, G.: Digital Image Processing and Machine Vision—Visual C++ and Matlab. People’s posts and Telecommunications Press, Beijing (2010)