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.
