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Quaderer, J
Lee, W
Schenatto, K
Lan, Y
Schottle, N
Santos, A
Scudiero, E
Stauffer, T
Sano, M
Slaughter, D.C
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Authors
Lee, W
Wang, K
Li, H
Ehsani, R
Yang, C
Sugimoto, T
Shirakawa, T
Sano, M
Ohaba, M
Shibusawa, S
Nakagawa, Y
Lan, Y
Xue, X
Farooque, A.A
Zaman, Q
Schumann, A.W
Percival, D.C
Esau, T.J
Stauffer, T
Lee, W
Ehsani, R
Roka, F
Choi, D
Yang, C
Quaderer, J
Coonen, J
Lange, A
Pauly, K
Nakagawa, Y
Sano, M
Shirakawa, T
Yamagishi, K
Sugihara, T
Ohaba, M
Shibusawa, S
Sugimoto, T
Souza, E
Schenatto, K
Rodrigues, F
Rocha, D
Bazzi, C.L
Schenatto, K
Bazzi, C.L
Bier, V
Souza, E
Lee, W
Pourreza, A
Pérez Ruiz, M
Slaughter, D.C
Choi, D
Lee, W
Schueller, J.K
Ehsani, R
Roka, F.M
Ritenour, M.A
Betzek, N.M
Souza, E.G
Bazzi, C.L
Schenatto, K
Gavioli, A
Maggi, M.F
Gavioli, A
Souza, E.G
Bazzi, C.L
Betzek, N.M
Schenatto, K
Beneduzzi, H.M
Schenatto, K
de Souza, E.G
Bazzi, C.L
Gavioli, A
Betzek, N.M
Beneduzzi, H.M
Gan, H
Lee, W
Alchanatis, V
Bazzi, C.L
Araujo, R
Souza, E.G
Schenatto, K
Gavioli, A
Betzek, N.M
Schenatto, K
Souza, E.G
Bazzi, C.L
Gavioli, A
Betzek, N.M
Magalhães, P.S
Dallago, G.M
Figueiredo, D
Santos, R
Santos, D
Guimarães, L
Santos, C
Castro, T
Santos, A
Otoni, L
Andrade, J
Bazzi, C.L
Jasse, E.P
Souza, E.G
Magalhães, P.S
Michelon, G.K
Schenatto, K
Gavioli, A
Bazzi, C.L
Schenatto, K
Upadhyaya, S
Rojo, F
Gavioli, A
Souza, E.G
Bazzi, C.L
Betzek, N.M
Schenatto, K
Souza, E
Schenatto, K
Bazzi, C
Betzek, N.M
Souza, E.G
Bazzi, C.L
Magalhães, P.G
Gavioli, A
Schenatto, K
Dall'Agnol, R.W
Bazzi, C.L
Silva, F.V
Gebler, L
Souza, E.G
Schenatto, K
Sobjak, R
Dos Santos, R.S
Hachisuca, A.M
Franz, F
Bazzi, C.L
Martins, M.R
Gebler, L
Souza, E.G
Schenatto, K
Sobjak, R
Hachisuca, A.
Franz, F
Souza, E.G
Bazzi, C
Hachisuca, A
Sobjak, R
Gavioli, A
Betzek, N
Schenatto, K
Mercante, E
Rodrigues, M
Moreira, W
Aikes Junior, J
Souza, E.G
Bazzi, C
Sobjak, R
Hachisuca, A
Gavioli, A
Betzek, N
Schenatto, K
Moreira, W
Mercante, E
Rodrigues, M
Fleming, K
Schottle, N
Nagel, P
Koch, G
Zhou, C
Lee, W
Pourreza, A
Schueller, J.K
Liburd, O.E
Ampatzidis, Y
Zuniga-Ramirez, G
Bazzi, C.L
Rauber, L.A
Oliveira, W.K
Sobjak, R
Schenatto, K
Gebler, L
Rabello, L.M
Bazzi, C.L
Oliveira, W.K
Sobjak, R
Schenatto, K
Souza, E
Hachisuca, A
Franz, F
Avila, E.N
Bazzi, C.L
Oliveira, W.K
Schenatto, K
Sobjak, R
Rocha, D.M
Sobjak, R
Bazzi, C.L
Schenatto, K
Oliveira, W.K
Menegasso, A.E
Huang, Z
Lee, W
Takkellapati, N
Scudiero, E
Nugent, C.I
Ng, C
Jones, N
Azzam, T
Salunga, N.G
Lemus, S
Topics
Machine Vision / Multispectral & Hyperspectral Imaging Applications to Precision Agriculture
Engineering Technologies and Advances
Precision Aerial Application
Spatial Variability in Crop, Soil and Natural Resources
Engineering Technologies and Advances
Applications of UAVs (unmanned aircraft vehicle systems) in precision agriculture
Remote Sensing Applications in Precision Agriculture
Precision Conservation Management
Sensor Application in Managing In-season Crop Variability
Spatial Variability in Crop, Soil and Natural Resources
Precision Nutrient Management
Decision Support Systems in Precision Agriculture
Remote Sensing Applications in Precision Agriculture
On Farm Experimentation with Site-Specific Technologies
Precision Dairy and Livestock Management
Big Data, Data Mining and Deep Learning
Decision Support Systems
Education and Outreach in Precision Agriculture
Geospatial Data
Decision Support Systems
Profitability and Success Stories in Precision Agriculture
Big Data, Data Mining and Deep Learning
Proximal and Remote Sensing of Soils and Crops (including Phenotyping)
Wireless Sensor Networks and Farm Connectivity
Big Data, Data Mining and Deep Learning
Artificial Intelligence (AI) in Agriculture
Education of Precision Agriculture Topics and Practices
Type
Poster
Oral
Year
2012
2010
2014
2016
2018
2022
2024
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Filter results36 paper(s) found.

1. Estimating Soil Moisture And Organic Matter Content Variabality Using Electromagnatic Induction Metod

  Abstract: Electromagnetic induction (EMI) methods are gaining popularity due to their non-destructive nature, rapid response and ease of integration into mobile platforms for assessment of the soil moisture content, water table depth, and salinity etc. The objective of this study was to estimate and map soil moisture content and organic matter content using DualEM.... A. Farooque, Q. Zaman, A.W. Schumann, D.C. Percival, T.J. Esau, T. Stauffer

2. Spectral Angle Mapper (SAM) Based Citrus Greening Disease Detection Using Airborne Hyperspectral Imaging

Over the past two decades, hyperspectral (HS) imaging has provided remarkable performance in ground objects classification and disease identification, due to its high spectral resolution. In this paper, a novel method named ‘extended spectral angle mapping (ESAM)’ is proposed to detect citrus greening disease (Huanglongbing or HLB), which is a destructive disease of citrus. Firstly, Savitzky-Golay smoothing filter was applied to the raw image to remove spectral noise within the data,... W. Lee, K. Wang, H. Li, R. Ehsani, C. Yang

3. Study on Water Distribution Measurement in Sand Using Sound Vibration

... T. Sugimoto, T. Shirakawa, M. Sano, M. Ohaba, S. Shibusawa, Y. Nakagawa

4. Ultra-low Altitude and Low Spraying Technology Research in Paddy

  Aerial application has characteristics of low-volume, small droplet, and possibility of drift. To control rice planthopper, leaf roller and blast, the research aimed at screening agrichemicals and determining the feasibility of using high concentration of conventional dosage for aerial application. The results showed that... Y. Lan, X. Xue

5. Post-Harvest Quality Evaluation System On Conveyor Belt For Mechanically Harvested Citrus

Recently, a machine vision technology has shown its popularity for automating visual inspection. Many studies proved that the machine vision system can successfully estimate external qualities of fruit as good as manual inspection. However, introducing mechanical harvesters to citrus industry caused the following year’s yield loss due to the loss of immature young citrus. In this study, a machine vision system on a conveyor belt was developed to inspect mechanically... W. Lee, R. Ehsani, F. Roka, D. Choi, C. Yang

6. Applying Conventional Vegetation Vigor Indices To UAS-Derived Orthomosaics: Issues And Considerations

In recent years, unmanned airborne systems (UAS) have gained a lot of interest for their potential use in precision agriculture. While the imagery from near-infrared (NIR) enabled off-the-shelf cameras included in UAS can be directly used to facilitate crop scouting, the application in quantitative analyses remains cumbersome. The ultimate goal is to calculate (nitrogen) prescription maps from vegetation indices obtained from UAS imagery, but two main issues hamper this workflow: (1) the... J. Quaderer, J. Coonen, A. Lange, K. Pauly

7. Study On Plant Health Condition Monitoring Using Acoustic Radiation Force

In recent years, irrigation method using the negative pressure difference attracts attention from the point of view of water saving. In addition, it is proved that this technique is effective in upbringing of the plant as well as saving of water. By measuring water distribution of soil, active irrigation control will be performed In our previous study, we confirmed that the resonance frequency of a leaf is influenced by the water stress to the plant. Thus the vibration measurement... Y. Nakagawa, M. Sano, T. Shirakawa, K. Yamagishi, T. Sugihara, M. Ohaba, S. Shibusawa, T. Sugimoto

8. Comparison Of Management Zones Generated By The K-Means And Fuzzy C-Means Methods

The generation of Management Zones (MZ) is an economic alternative to make viable the precision agriculture (RODRIGUES & ZIMBACK, 2002) because they work as operation units for the inputs localized application and as soil and culture sample indicators. For the field division in... E. Souza, K. Schenatto, F. Rodrigues, D. Rocha, C. Bazzi

9. The Influence Of The Interpolation Method In The Management Zones Generation

The definition of management zones (MZ) allows the concepts of precision agriculture (PA) to be used even in small producers. Methods for defining these MZ were created and are being used, obtaining satisfactory results with different crops and parameters (FLEMING & WESTFALL, 2000; ORTEGA & SANTIBÁÑEZ, 2007; MILANI et al., 2006). Through methodologies, the attributes that are influencing the productivity are selected and thematic maps are generated with the... K. Schenatto, C. Bazzi, V. Bier, E. Souza

10. Effect Of Starch Accumulation In Huanglongbing Symptomatic Leaves On Reflecting Polarized Light

Huanglongbing (HLB) or citrus greening disease is an extremely dangerous infection which has severely influenced the citrus industry in Florida. It was also recently found in California and Texas. There is no effective cure for this disease reported yet. The infected trees should be identified and removed immediately to prevent the disease from being spread to other trees. The visual leaf symptoms of this disease are green islands, yellow veins, or vein corking; however,... W. Lee, A. Pourreza

Showing 1 to 10 of 36 entries