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Open AccessArticle

Development of a Mushroom Growth Measurement System Applying Deep Learning for Image Recognition

1
Department of Information Technology, Meiho University, Pingtung 91202, Taiwan
2
Department of Information and Communication Engineering, Chaoyang University of Technology, Taichung 41349, Taiwan
*
Author to whom correspondence should be addressed.
Agronomy 2019, 9(1), 32; https://doi.org/10.3390/agronomy9010032
Received: 14 December 2018 / Revised: 9 January 2019 / Accepted: 10 January 2019 / Published: 14 January 2019
(This article belongs to the Special Issue Deep Learning Techniques for Agronomy Applications)
In Taiwan, mushrooms are an agricultural product with high nutritional value and economic benefit. However, global warming and climate change have affected plant quality. As a result, technological greenhouses are replacing traditional tin houses as locations for mushroom planting. These greenhouses feature several complex parameters. If we can reduce the complexity such greenhouses and improve the efficiency of their production management using intelligent schemes, technological greenhouses could become the expert assistants of farmers. In this paper, the main goal of the developed system is to measure the mushroom size and to count the amount of mushrooms. According to the results of each measurement, the growth rate of the mushrooms can be estimated. The proposed system also records the data of the mushrooms and broadcasts them to the mobile phone of the farmer. This improves the effectiveness of the production management. The proposed system is based on the convolutional neural network of deep learning, which is used to localize the mushrooms in the image. A positioning correction method is also proposed to modify the localization result. The experiments show that the proposed system has a good performance concerning the image measurement of mushrooms. View Full-Text
Keywords: deep learning; mushroom cultivation; convolutional neural network; artificial intelligence; computer vision; image measurement deep learning; mushroom cultivation; convolutional neural network; artificial intelligence; computer vision; image measurement
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MDPI and ACS Style

Lu, C.-P.; Liaw, J.-J.; Wu, T.-C.; Hung, T.-F. Development of a Mushroom Growth Measurement System Applying Deep Learning for Image Recognition. Agronomy 2019, 9, 32.

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