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B, K
Herrmann, I
Ragab, R
Baghernejad, M
Ma, W
Marin, A
R, C
Westfall, D
Martin, D.L
Mackenzie, C
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Authors
Bonfil, D.J
Shapira, U
Karnieli, A
Herrmann, I
Kinast, S
Mackenzie, C
Ragab, R
Moshia, M.E
Khosla, R
Davis, J
Westfall, D
Bonfil, D.J
Herrmann, I
Pimstein, A
Karnieli, A
Shapira , U
Herrmann, I
Karnieli, A
Bonfil, D.J
Herrmann, I
Pimstein, A
Karnieli, A
Cohen, Y
Alchanatis , V
Bonfil, D.J
Mackenzie, C
Mackenzie, C
R, C
Rumpf, T
B, K
Hunsche, M
Pl, L
Noga, G
Shaver, T
Khosla, R
Westfall, D
Cointault, F
Marin, A
Journaux, L
Miteran, J
Martin, R
Ma, W
Zhao, C
Zaman, Q.U
Zach, D
Baghernejad, M
Emadi, M.M
Baghernejad, M
Emadi, M.M
Peterson, G
Westfall, D
Sherrod, L.A
Moss, J.Q
Bell, G.E
Solie, J.B
Stone, M.L
Martin, D.L
Payton, M.E
Ma, W
Wang, X
Mackenzie, C
Baghernejad, M
Emadi, M
Baghernejad, M
Emadi, M
Herrmann, I
Vosberg, S
Ravindran, P
Singh, A
Townsend, P
Conley, S
Sahoo, M
Tarshish, R
Alchanatis , V
Herrmann, I
Topics
Remote Sensing Applications in Precision Agriculture
Precision A to Z for Practitioners
Modeling and Geo-statistics
Precision Nutrient Management
Remote Sensing Applications in Precision Agriculture
Global Proliferation of Precision Agriculture and its Applications
Sensor Application in Managing In-season Crop Variability
Precision Horticulture
Spatial Variability in Crop, Soil and Natural Resources
Precision Carbon Management
Precision Crop Protection
Profitability, Sustainability and Adoption
Spatial and Temporal Variability in Crop, Soil and Natural Resources
Modelling and Geo-Statistics
Precision Agriculture and Global Food Security
Proximal and Remote Sensing of Soils and Crops (including Phenotyping)
Type
Poster
Oral
Year
2012
2010
2014
2008
2018
2024
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Authors

Filter results22 paper(s) found.

1. Saltmed Model As An Integrated Management Tool For Precision Management Of Water, Crop, Soil, And Fertilizers

                 SALTMED-2009: A modelling tool for Precision Agriculture                                                    R. Ragab Centre for Ecology and Hydrology,... R. Ragab

2. Precision Manure Management: It Matters Where You Put Your Manure

“Precision fertilizer management” has been around for more than a decade and is practiced widely in Colorado and elsewhere. By precision, we mean application of fertilizer at the right time, in the right place, and in the right amount. However, “Precision Manure Management” is a relatively new concept that converge the best manure management practices with precision nutrient management practices, such as variable rate nutrient application across site-specific management... M.E. Moshia, R. Khosla, J. Davis, D. Westfall

3. Multi, Super Or Hyper Spectral Data, The Right Way From Research Toward Application In Agriculture

Remote sensing provides opportunities for diverse applications in agriculture. One consideration of maximizing the utility of these applications, is the need to choose the most efficient spectral resolution. Picking the optimal spectral resolutions (multi, super or hyper) for a specific application is also influenced by other factors (e.g., spatial and temporal resolutions) of the utilized device. This work focuses mainly on... D.J. Bonfil, I. Herrmann, A. Pimstein, A. Karnieli

4. Weeds Detection By Ground-level Hyperspectral Imaging

Weeds are a severe pest in agriculture, causing extensive yield loss. Weed control of grass and broadleaf weeds is commonly performed by applying selective herbicides homogeneously all over the field. As presented in several studies, applying the herbicide only where needed has economical as well as environmental benefits. Combining remote sensing tools and techniques with the concept of precision agriculture has the potential to automatically... U. Shapira , I. Herrmann, A. Karnieli, D.J. Bonfil

5. Assessment Of Field Crops Leaf Area Index By The Red-edge Inflection Point Derived From Venus Bands

The red-edge region of leaves spectrum (700-800 nm) corresponds to the spectral region that connects the chlorophyll absorption in the red and the amplified reflectance caused by the leaf structure in the near infrared (NIR) parts of the spectrum. At the canopy level, the inflection point of the red-edge slope is influenced by the plant’s condition that is related to several properties, including Leaf Area Index (LAI) and plant nutritional status.... I. Herrmann, A. Pimstein, A. Karnieli, Y. Cohen, V. Alchanatis , D.J. Bonfil

6. Precision Agriculture In New Zealand’s Farming Systems

  To date New Zealand farmers do not realize how involved they are in Precision Agriculture (PA). As arable farmers we know how many kilograms of nitrogen (N) it takes to grow a tonne of wheat, how many kilograms of seed we can produce for every millimetre of water that is applied (through irrigation and/or rainfall) and yet we don’t believe we are involved in PA. As dairy farmers we are matching feed requirements to the specific production level of individual cows. We are... C. Mackenzie, C. Mackenzie

7. Early Identification Of Leaf Rust On Wheat Leaves With Robust Fitting Of Hyperspectral Signatures

Early recognition of pathogen infection is of great relevance in precision plant protection. Disease detection before the occurrence of visual symptoms is of particular interest. By use of a laserfluoroscope, UV-light induced fluorescence data were collected from healthy and with leaf rust infected wheat leaves of the susceptible cv. Ritmo 2-4 days after inoculation under controlled conditions. In order to evaluate disease impact on spectral characteristics 215 wavelengths in the range of 370-800... C. R, T. Rumpf, K. B, M. Hunsche, L. Pl, G. Noga

8. Development Of A Nitrogen Requirement Algorithm Using Ground-based Active Remote Sensors In Irrigated Maize

Studies have shown that normalized difference vegetation index (NDVI) from ground-based active remote sensors is highly related with leaf N content in maize (Zea mays). Remotely sensed NDVI imagery can provide valuable information about in-field N variability in maize and significant linear relationships between sensor NDVI and maize grain yield have been found suggesting that an N recommendation algorithm based on NDVI could optimize N application. Therefore, a study was conducted using the two... T. Shaver, R. Khosla, D. Westfall

9. Wheat Growth Stages Discrimination Using Generalized Fourier Descriptors In Pattern Recognition Context

... F. Cointault, A. Marin, L. Journaux, J. Miteran, R. Martin

10. Design And Experiment On Target Spraying Robot For Greenhouse

In greenhouse, the robot sprayers give rise to concern as they  reduce the labor intensity and improve the accuracy of  the spraying. This paper details the progress to date in the development of a precision robot sprayer. The precision robot sprayer is able to adjust both liquid and air volume to match, the branches contour and location of the greenhouse crops with two ultrasonic sensors  which ensures the position of the plants in the greenhouse. The spraying robot with the... W. Ma, C. Zhao, Q.U. Zaman, D. Zach

Showing 1 to 10 of 22 entries