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Kodaira, M
Darr, M.J
Dobbins, R
Dosskey, M.G
Zhang, Y
Kumar, A
Krum, J
James, D.E
Del Solar, D.E
Zhao, C
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Authors
Zhao, C
Zhou, J
Deng, W
Qiu, Z
Dosskey, M.G
Kanda, R
Kodaira, M
Shibusawa, S
Shibusawa, S
Ninomiya, K
Kodaira, M
Yang, X
Sun, C
Qian, J
Ji, Z
Qiao, S
Chen, M
Zhao, C
Li, M
Zainal Abidin, M.B
Shibusawa, S
Ohaba, M
Li, Q
Kodaira, M
Khalid, M.B
Shibusawa, S
Ohaba, M
Zainal Abidin, M.B
Kodaira, M
Li, Q
Fu, W
Meng, Z
Wu, G
Dong, J
Mei, H
Zhao, C
Song, X
Zhao, C
Chen, L
Huang, W
Cui, B
Ohaba, M
Zainal Abidin, M.B
Li, Q
Shibusawa, S
Kodaira, M
Osato, K
Fusamura, R
Shibusawa, S
Kodaira, M
Bedard, F
Reichert, G
Dobbins, R
Pantel, M
Smith, J
Dosskey, M.G
Mueller, T.G
Sulastri, N
Shibusawa, S
Kodaira, M
Ahamed, T
Tian, L
Zhang, Y
Xiong, Y
Zhao, B
Jiang, Y
Ting, K
Chen, L
Zhao, C
Huang, W
Chen, T
Wang , J
Rice, K
Carson, T
Krum, J
Flitcroft, I
Cline, V
Carrow, R
Huang, W
Zhao, C
Kodaira, M
NAGAMI, Y
Shibusawa, S
KANDA, R
Kaho, T
Kodaira, M
Shibusawa, S
Kodaira, M
Shibusawa, S
Ninomiya, K
Tomer, M
Isenhart, T.M
James, D.E
Griffin, S
Darr, M.J
Qiu, Z
Dosskey, M.G
Frieberg, D
Ma, W
Zhao, C
Zaman, Q.U
Zach, D
Fulton, J.P
Darr, M.J
Taylor, R.K
McDonald, T.P
Lee, W
Kumar, A
Ehsani, R
Yang, C
Albrigo, L.G
Ortega, R.A
Del Solar, D.E
Acevedo, E
Kodaira, M
Shibusawa, S
Zhao, C
Li, B
Shibusawa, S
Kodaira, M
Kana, I
Baharom, S.N
Umeda, H
Shibusawa, S
Li, Q
Usui, K
Kodaira, M
Shibusawa, S
Umeda, H
Usui, K
Kodaira, M
Li, Q
Zhao, C
Wu, G
Meng, Z
Fu, W
Li, L
Wei, X
Kodaira, M
Shibusawa, S
Li, Q
Sugihara, T
Kodaira, M
Shibusawa, S
Topics
Precision Crop Protection
Precision Conservation and Carbon Management
Engineering Technologies and Advances
Proximal Sensing in Precision Agriculture
Modeling and Geo-statistics
Spatial Variability in Crop, Soil and Natural Resources
Remote Sensing Applications in Precision Agriculture
Precision Conservation
Spatial Variability in Crop, Soil and Natural Resources
Modeling and Geo-statistics
Engineering Technologies and Advances
Precision Horticulture
Optimizing Farm-level use of Spatial Technologies
Proximal Sensing in Precision Agriculture
Spatial Variability in Crop, Soil and Natural Resources
Sensor Application in Managing In-season CropVariability
Engineering Technologies and Advances
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
Drainage Optimization and Variable Rate Irrigation
Type
Poster
Oral
Year
2012
2010
2014
2016
2018
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Filter results36 paper(s) found.

1. Timely, Objective, And Accurate Crop Area Estimations And Mapping Using Remote Sensing And Statistical Methods For The Province Of Prince Edward Island, Canada

The provincial government of Prince Edward Island, Canada, required timely, objective, and accurate annual crop area statistics and mapping for 2006 to 2008. Consequently, Statistics Canada conducted a survey incorporating medium- resolution satellite imagery (10 to 30 m) and statistical survey methods. The objective was to produce crop area estimates with a coefficient of variation (CV) as a measure of accuracy, and to produce maps showing the distribution and location of different crops and... F. Bedard, G. Reichert, R. Dobbins, M. Pantel, J. Smith

2. Designing Variable-width Filter Strips Using GIS And Terrain Analysis

Filter strips are a widely-used practice for reducing the load of pollutants that leave agricultural fields in overland runoff. They are typically designed to intercept uniformly-distributed runoff with a constant width strip along a field margin. Non-uniform runoff flow, however, can reduce the effectiveness of a constant-width filter strip. Non-uniform flow is created by topographic undulations and swales in fields that concentrate runoff into certain locations... M.G. Dosskey, T.G. Mueller

3. On The Go Soil Sensor For Soil Ec Mapping

This paper describes spatial variation maps of soil electrical conductivity (EC) obtained by both spectroscopic and capacitance methods using on the go soil sensor ( a real-time soil sensor -RTSS) SAS 1000, commercialized by Shibuya Kogyo Co. The experiments were conducted over a 2 year period on an experimental Hokkaido farm with an alluvial soil type. The comparison in soil EC records between the spectroscopy and the capacitance were also discussed. The spectroscopic approach used the soil... N. Sulastri, S. Shibusawa, M. Kodaira

4. Site-specific Management For Biomass Feedstock Production: Development Of Remote Sensing Data Acquisition Systems

Efficient biomass feedstock production supply chain spans from site-specific management of crops on field to the gate of biorefinery. Remote sensing data acquisition systems have been introduced for site-specific management, which is a part of the engineering solutions for biomass feedstock production. A stand alone tower remote sensing platform was developed to monitor energy crops using multispectral imagery. The sensing system was capable of collecting RGB and CIR images during the crop growing... T. Ahamed, L. Tian, Y. Zhang, Y. Xiong, B. Zhao, Y. Jiang, K. Ting

5. Application Of Algebra Hyper-curve Neural Network In Soil Nutrient Spatial Interpolation

Study on spatial variability of soil nutrient is the basis of soil nutrient management in precision agriculture. For study on application potential and characteristics of algebra hyper-curve neural network(AHNN) in delineating soil properties spatial variability and interpolation, total 956 soil samples were taken for alkaline hydrolytic nitrogen measurement from a 50 hectares field using 20m*20m grid sampling. The test data set consisted of 100 random samples extracting... L. Chen, C. Zhao, W. Huang, T. Chen, J. Wang

6. Spatial Mapping Of Penetrometer Resistance On Turfgrass Soils For Site-specific Cultivation

Site-specific management requires site-specific information.  Soil compaction at field capacity is a major stress on recreational turfgrass sites that requires frequent cultivation. Spatial mapping of penetrometer... K. Rice, T. Carson, J. Krum, I. Flitcroft, V. Cline, R. Carrow

7. Inversion Of Vertical Distribution Of Chlorophyll Concentration By Canopy Reflectance Spectrum In Winter Wheat

          The objective of this study was to investigate the inversion of foliage chlorophyll concentration(Chl) vertical-layer distribution by bidirectional reflectance difference function (BRDF) data, so as to provide guidance on the application of fertilizer. The ratio of transformed chlorophyll absorption reflectance index (TCARI) to optimized soil adjusted vegetation index (OSAVI) was named as canopy chlorophyll inversion index (CCII) in... W. Huang, C. Zhao

8. The Soil P2O5 Mapping Using The Real Time Soil Sensor

    Many researches related to P­2O5 measurement using Vis-NIR spectroscopy have been performed in laboratory. There are not so many researches to perform on-the-go measurement of P­2O5. One of the researches which performed... M. Kodaira, Y. Nagami, S. Shibusawa, R. Kanda

9. Prediction Of Soil Moisture Content And Penetration Resistance Using Real-time Soil Meter

A real-time soil compaction meter that refers to the air injection subsoiler, is developed.  The final goal is to predict standarized soil compaction that is converted from soil moisture content, working resistance and working speed.  This experiment confirmed performance of predicting the soil moisture content and of measuring the working resistance was conducted.  The equipments of the meter are a working resistance measurement device received from the soil and a spectroscope... T. Kaho, M. Kodaira, S. Shibusawa

10. Dozen Parameters Soil Mapping Using The Real-time Soil Sensor

 A Real-time soil sensor (RTSS) can be predicted soil parameters using near-infrared underground soil reflectance sensor in commercial farms. ... M. Kodaira, S. Shibusawa, K. Ninomiya

Showing 1 to 10 of 36 entries