Papers by Seishi Ninomiya
Remote Sensing, 2022
Multispectral images (MSIs) are valuable for precision agriculture due to the extra spectral info... more Multispectral images (MSIs) are valuable for precision agriculture due to the extra spectral information acquired compared to natural color RGB (ncRGB) images. In this paper, we thus aim to generate high spatial MSIs through a robust, deep-learning-based reconstruction method using ncRGB images. Using the data from the agronomic research trial for maize and breeding research trial for rice, we first reproduced ncRGB images from MSIs through a rendering model, Model-True to natural color image (Model-TN), which was built using a benchmark hyperspectral image dataset. Subsequently, an MSI reconstruction model, Model-Natural color to Multispectral image (Model-NM), was trained based on prepared ncRGB (ncRGB-Con) images and MSI pairs, ensuring the model can use widely available ncRGB images as input. The integrated loss function of mean relative absolute error (MRAEloss) and spectral information divergence (SIDloss) were most effective during the building of both models, while models us...
Additional file 2. Flowering Stage Graphs for Koshihikari. It contains graphs depicting observed ... more Additional file 2. Flowering Stage Graphs for Koshihikari. It contains graphs depicting observed 50% flowering stage using crop images in Koshihikari-1, Koshihikari-2 and Koshihikari-3.
Color and shape of fruits are the important indices which evaluate the quality of commodities and... more Color and shape of fruits are the important indices which evaluate the quality of commodities and variety characteristic. We constructed an image acquisition system using a combination of color histogram and modified Color Distribution Entropy (CDE) method to optimize color analysis of agricultural products. The strawberry fruit was used for analysis since its color is an important indicator of quality. Our chromatic image acquisition system enabled capture of strawberry images under diffuse illumination by using cylindrical paper as the light diffusing material to provide images with accurate color information. A standard strawberry with the standard color, shape, and size of each cultivar was chosen from the obtained samples by visual observation. Then, similarity between the standard strawberry image and the other images was calculated on the basis of color, shape and size of strawberry. The experimental result is quite similar to the visual observation.
Proceedings of the 3rd international conference on Embedded networked sensor systems, 2005
1. Field Server Field Server is a small Web server, which can be installed globally for long term... more 1. Field Server Field Server is a small Web server, which can be installed globally for long term by using wireless LAN and the Internet. Field Server can monitor environmental conditions and ecosystems in real-time by high resolution camera, multiple sensors and LED lighting. Ad-hoc Wi-Fi mesh-network is created by Field Servers, and also Wi-Fi hotspots can be created around Field Servers for ubiquitous networking. Field Servers can be used also as a platform to use network devices and electroequipments in open fields. In Field Server’s case, all devices are connected by Ethernet or Wi-Fi, that is, inside of Field Server is also sensor-network, which can realize layout-free architecture, plug & play, robustness and various designs for Field Servers.
2007 International Symposium on Applications and the Internet Workshops, 2007
... In addition, we remotely monitored the surface color change of the tomato fruits on the tree ... more ... In addition, we remotely monitored the surface color change of the tomato fruits on the tree in the green house located in the Experimental ... Additionally, after the multiple sensors were installed in the farm, their performance was evaluated for about a year ... J. Robotics Mechatronics ...
2008 SICE Annual Conference, 2008
... surface color change of the tomato fruits on the tree in the green house located in ... preci... more ... surface color change of the tomato fruits on the tree in the green house located in ... precise information on quality and safety of agricultural products in the farm, measurement tools ... Hirafuji, Field Monitoring Using Sensor-Nodes with a Web Server, J. Robotics Mechatronics, Vol. ...
Agricultural Information Research, 2007
An Internet-accessible image analysis service, Remote Image Analysis Service (RIAS), was designed... more An Internet-accessible image analysis service, Remote Image Analysis Service (RIAS), was designed and implemented in this research. The Image Analysis Core, which internally carries out the actual image processing, utilizes a Java code library known as Java Advanced Imaging. Three different inter-process protocols are used for communication between RIAS and client software applications, each serving a different application category. Firstly, Java applications within a host organization's firewall communicate with the image analysis core using Java RMI, a relatively fast binary protocol. The second category of applications, namely Java clients outside of the organization, access RIAS by sending requests and receiving results through EJB Server over RMI/IIOP. These two protocols are only usable by Java clients. The third category of applications is non-Java client applications, which access RIAS through SOAP-based Imaging Service using HTTP as the transport mechanism. SOAP, as the backbone of Web Service, is a cross platform and a cross language, and hence can be accessed by any languages supporting SOAP. Imaging Service implemented in RIAS supports MTOM, the newest attachment specification. Client applications of Java applet and MS C#. Net were also developed, verifying that RIAS has good performance in three accesses. RIAS is potentially able to be used by mobile devices such as cell phone with camera and PDA with camera. This is important because mobile devices usually lack of ability of floating point computing, by using RIAS, agricultural researchers and farmers may carry out image processing in the field.
SICE Annual Conference 2007, 2007
Field server is a kind of wireless sensor node based on Web server (HTTP) and Wi-Fi wireless LAN.... more Field server is a kind of wireless sensor node based on Web server (HTTP) and Wi-Fi wireless LAN. On 2001, The first field server was developed as a multifunctional sensor node to monitor environment and ecosystems. So far, functions of the field server have been extended to solve diverse problems mainly in agricultural fields. Since 2005, we have been investigating advanced field servers adapting also for urban areas. The advanced field servers (AFS) are equipped with remarkably new functions such as Wi-Fi mesh-network, multiple sensors, serial/USB interfaces, network streaming music and image projection. The distinctive functions are image monitoring such as high-resolution imaging, infra-red imaging and real-time pattern recognition. The AFSs are redesigned to be platform to mount these devices easily. The AFSs ubiquitously fixed in open fields such as streets, parks and gardens will be able to provide pedestrians and residents rich information services as stewards.
Crop Science, 2007
D egradation of grain quality, such as abnormal morphology and coloration, occurs frequently in r... more D egradation of grain quality, such as abnormal morphology and coloration, occurs frequently in rice (Oryza sativa L.), owing to high temperatures during the ripening period. Unfavorably warm weather at the grain fi lling stage results in reduced enzymatic activity related to grain fi lling, respiratory consumption of assimilation products, disturbed water balance, and decreased sink activity of glumous fl owers (Inaba and Sato, 1976; Sato and Inaba, 1976a,b). These physiological disorders are major factors that prevent the progress of normal grain fi lling. Among several grain qualities aff ected by these physiological disorders, chalkiness is a major concern in rice breeding because it is one of the key factors in determining rice quality and price. If part of the milled rice grain is opaque rather than translucent, it is characterized as chalky. Chalkiness disappears on cooking and has no eff ect on taste
Computers and Electronics in Agriculture, 2013
Effective and efficient segmentation of vegetation from digital plant images is an actively studi... more Effective and efficient segmentation of vegetation from digital plant images is an actively studied topic in crop phenotyping. Many of the formerly proposed methods showed good performance in the extraction under controlled light conditions but it is still hard to properly extract only vegetation from RGB images taken under natural light condition where the images can contain shadowed and lighted parts with specularly reflected parts of plants. In this paper, we propose a robust method to extract vegetation from the plant images taken under natural light conditions using wheat images. The method is based on a machine learning process, decision tree and image noise reduction filters. We adopted the CART algorithm to create a decision tree in the training process and examined its performance using test images, comparing it with the performances of other methods such as ExG, ExG-ExR and Modified ExG which are widely used recently. The results showed that the accuracy of the vegetation extraction by the proposed method was significantly better than that of the other methods particularly for the images which include strongly shadowed and specularly reflected parts. The proposed method also has an advantage that the same model can be applied to different images without requiring a threshold adjustment for each image.
Breeding Science, 2022
In contrast to the rapid advances made in plant genotyping, plant phenotyping is considered a bot... more In contrast to the rapid advances made in plant genotyping, plant phenotyping is considered a bottleneck in plant science. This has promoted high-throughput plant phenotyping (HTP) studies, resulting in an exponential increase in phenotyping-related publications. The development of HTP was originally intended for use as indoor HTP technologies for model plant species under controlled environments. However, this subsequently shifted to HTP for use in crops in fields. Although HTP in fields is much more difficult to conduct due to unstable environmental conditions compared to HTP in controlled environments, recent advances in HTP technology have allowed these difficulties to be overcome, allowing for rapid, efficient, non-destructive, noninvasive, quantitative, repeatable, and objective phenotyping. Recent HTP developments have been accelerated by the advances in data analysis, sensors, and robot technologies, including machine learning, image analysis, three dimensional (3D) reconstruction, image sensors, laser sensors, environmental sensors, and drones, along with high-speed computational resources. This article provides an overview of recent HTP technologies, focusing mainly on canopy-based phenotypes of major crops, such as canopy height, canopy coverage, canopy biomass, and canopy stressed appearance, in addition to crop organ detection and counting in the fields. Current topics in field HTP are also presented, followed by a discussion on the low rates of adoption of HTP in practical breeding programs.
Journal of Information Processing and Management, 2015
Euphytica, 1992
It has been suggested that the selection based on the wrinkles on the husks of malting barley is ... more It has been suggested that the selection based on the wrinkles on the husks of malting barley is useful especially during the early generation in breeding program, because the wrinkles can be an indicator of malting quality of grains. However, it can be done only visually and requires much labor. In this study, the evaluation of the wrinkles by texture analysis of digital image data, was examined for the quantitative evaluation of the fineness of the wrinkles and its automatic selection. The texture analysis based on co-occurrence matrices was applied and it was revealed that finely wrinkled grains can be clearly discriminated by discriminant analysis on several parameters estimated from the co-occurrence matrices .
A pilot-operated poppet valve with integral flow control, the latter being adjustable and directi... more A pilot-operated poppet valve with integral flow control, the latter being adjustable and direction sensitive to provide free or metered flow. Pressure actuated slidable metering seats having integral lip seals are disposed at load ports and are responsive to pressure therein to move relative to adjustable needles between a metering position and a spaced free flow position. The poppet valves include piston seals consisting of cup-shaped elastomeric elements with a central domed bumper structure disposed freely at the piston head.
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Papers by Seishi Ninomiya