Next Article in Journal
Delivery of Inoculum of Rhizophagus irregularis via Seed Coating in Combination with Pseudomonas libanensis for Cowpea Production
Previous Article in Journal
Prospects of Forage Production in Northern Regions under Climate and Land-Use Changes: A Case-Study of a Dairy Farm in Newfoundland, Canada
Previous Article in Special Issue
Automatic Segmentation and Counting of Aphid Nymphs on Leaves Using Convolutional Neural Networks
Article Menu

Export Article

Open AccessArticle
Agronomy 2019, 9(1), 32; https://doi.org/10.3390/agronomy9010032

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.
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)
Full-Text   |   PDF [8702 KB, uploaded 14 January 2019]   |  

Abstract

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
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Agronomy EISSN 2073-4395 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top