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Measurement of Tomato Leaf Area Using Computer Image Processing Technology

SENSOR LETTERS 2010年第1期8卷 56-60页

作者： An Dengkui Li Minzan Zhang Li China Agr Univ Key Lab Modern Precis Agr Syst Integrat Res Minist Educ Beijing 100083 Peoples R China

The change of plant shape, size and color of leaves, flower shape and fruit shape was inseparable from the nutrition state and environment factor. This research started from the study of color, shape and texture characters of crops, and tried to acquire plant growth information by abstracting the plant morphological characters, size and color of leaves, flower shape, fruit shape, etc. using digital image processing technology. The information would be an important reference factor when greenhouse control decision was being made. A software program was finished for crop information abstracting based on the current digital image processing technology. This program can be used to measure tomato leaf area. The algorithm used to remove petiole combined erosion, dilation thinning algorithm and did less damage to tomato leaf image than simply use erosion and dilation algorithm. 30 greenhouse tomato leaf samples were picked to examine the abstracting result. The results of the image processing measurements and the measurements using portable area meter LI-3000 were analyzed and the correlation coefficient of single-leaf areas is 0.962, which shows that the algorithm is very prospective. The characters that were abstracted in this research are not enough for analysis on the plant growth information, but the study laid a foundation for further research.

关键词： Image Processing Technology Leaf Area Tomato petiole removing algorithm

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Measurement of Tomato Leaf Area Using Computer Image Processing Technology

Measurement of Tomato Leaf Area Using Computer Image Process...

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作者： An Dengkui Li Minzan Zhang Li Key Laboratory of Modern Precision Agriculture System Integration Research China Agricultural UniversityMinistry of Education

The change of plant shape,size and color of leaves,flower shape and fruit shape was inseparable from the nutrition state and environment *** research started from the study of color,shape and texture characters of crops,and tried to acquire plant growth information by abstracting the plant morphological characters,size and color of leaves,flower shape,fruit shape,*** digital image processing *** information would be an important reference factor when greenhouse control decision was being made.A software program was finished for crop information abstracting based on the current digital image processing *** program can be used to measure tomato leaf *** algorithm used to remove petiole combined erosion,dilation thinning algorithm and did less damage to tomato leaf image than simply use erosion and dilation algorithm.30 greenhouse tomato leaf samples were picked to examine the abstracting *** results of the image processing measurements and the measurements using portable area meter LI-3000 were analyzed and the correlation coefficient of single-leaf areas is 0.962,which shows that the algorithm is very *** characters that were abstracted in this research are not enough for analysis on the plant growth information,but the study laid a foundation for further research.

关键词： Image Processing Technology Leaf Area Tomato petiole removing algorithm

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Measurement of Tomato Leaf Area Using Computer Image Processing Technology

Measurement of Tomato Leaf Area Using Computer Image Process...

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第三届国际计算机及计算技术农业应用学术会议

作者： An Dengkui,Li Minzan~*,and Zhang Li Key Laboratory of Modern Precision Agriculture System Integration Research,China Agricultural University, Ministry of Education,Beijing 100083,P.R.China

The change of plant shape,size and color of leaves,flower shape and fruit shape was inseparable from the nutrition state and environment *** research started from the study of color, shape and texture characters of crops,and tried to acquire plant growth information by abstracting the plant morphological characters,size and color of leaves,flower shape,fruit shape,*** digital image processing *** information would be an important reference factor when greenhouse control decision was being made.A software program was finished for crop information abstracting based on the current digital image processing *** program can be used to measure tomato leaf *** algorithm used to remove petiole combined erosion,dilation thinning algorithm and did less damage to tomato leaf image than simply use erosion and dilation algorithm. 30 greenhouse tomato leaf samples were picked to examine the abstracting *** results of the image processing measurements and the measurements using portable area meter LI-3000 were analyzed and the correlation coefficient of single-leaf areas is 0.962,which shows that the algorithm is very *** characters that were abstracted in this research are not enough for analysis on the plant growth information,but the study laid a foundation for further research.

关键词： Image Processing Technology Leaf Area Tomato petiole removing algorithm

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