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Larson, J.A
Llorens, J
Li, M
SONODA, M
Sharda, A
Qiu, Z
Qian, J
Lamb, D.W
Lacey, R
Sikora, R.A
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Authors
Thompson, N.M
Larson, J.A
English, B.C
Lambert, D.M
Roberts, R.K
Velandia, M
Wang, C
Qiu, Z
Dosskey, M.G
Sun, C
Ji, Z
Qian, J
Li, M
Zhao, L
Li, W
Zhou, C
Du, X
Xie, J
Wu, T
Qu, L
Hao, L
Yang, X
Yang, X
Sun, C
Qian, J
Ji, Z
Qiao, S
Chen, M
Zhao, C
Li, M
Stanley, J.N
Schneider, D.A
Lamb, D.W
Hillnhuetter, C
Mahlein, A
Sikora, R.A
Oerke, E
Bourgain, O
Duval, C
Llorens, J
Trotter, M.G
Lamb, D.W
Hinch, G.N
Guppy, C.N
Lamb, D.W
Trotter, M.G
Schneider, D
KOJIMA, Y
Shibusawa, S
Fusamura, R
SONODA, M
Duval, C
Llorens, J
Duval, C
Duval, C
Ta, S
Sharda, A
Luck, J.D
Fulton, J.P
Shearer, S.A
Shearer, S.A
Mullenix, D
Vanacht, M
Qiu, Z
Dosskey, M.G
Frieberg, D
Sauer, B
Guppy, C.N
Trotter, M.G
Lamb, D.W
Delgado, J.A
Lan, Y
Zhang, H
Yang, C
Martin, D
Lacey, R
Huang, Y
Hoffmann, W.C
Moulton, P
Donald, G.E
Trotter, M.G
Lamb, D.W
Levow, G
van Es, H.M
Yang, X
Li, M
Sun, C
Qian, J
Ji, Z
Larson, J.A
Mooney, D.F
Roberts, R.K
English, B.C
Velandia, M
Mooney, D.F
Roberts, R.K
English, B.C
Larson, J.A
Lambert, D.M
Larkin, S.L
Marra, M.C
Rejesus, R
Martin, S.W
Paxton, K.W
Mishra, A
Wang, C
Segarra, E
Reeves, J.M
Harper, D.C
Lambert, D.M
English, B.C
Larson, J.A
Roberts, R.K
Velandia, M
Mooney, D.F
Larkin, S.L
Sharda, A
Luck, J.D
Fulton, J.P
Shearer, S.A
McDonald, T.P
Mullenix, D
Luck, J.D
Sharda, A
Pitla, S.K
Fulton, J.P
Shearer, S.A
Chen, M
Li, M
Qian, J
Li, W
Wang, Y
Zhang, Y
Yang, X
Karkee, M
Zhang, Q
Sharda, A
Ciampitti, I.A
Shroyer, K
Prasad, V
Sharda, A
Stamm, M.J
Wang, H
Price, K
Mangus, D
Holland, K.H
Lamb, D.W
Mangus, D.L
Sharda, A
Maurer, J.L
Griffin, T.W
Sharda, A
Walsh, O.S
Samborski, S.M
Stępień, M
Gozdowski, D
Lamb, D.W
Gacek, E.S
Drzazga, T
Barwick, J.D
Trotter, M
Lamb, D.W
Dobos, R
Welch, M
Larson, J.A
Stefanini, M
Lambert, D.M
Yin, X
Boyer, C.N
Varco, J.J
Scharf , P.C
Tubaña, B.S
Dunn, D
Savoy, H.J
Buschermohle, M.J
Tyler, D.D
Balboa, G
Varela, S
Ciampitti, I
Duncan, S
Maxwell, T
Shoups, D
Sharda, A
Bennett, J
Wilson, C
Sharda, A
Griffin, T.W
Sharda, A
Badua, S
Flippo, D
Ciampitti, I
Griffin, T.W
Sharda, A
Badua, S
Ciampitti, I
Strasser, R
Griffin, T.W
Sharda, A
Harsha Chepally, R
Lamb, D.W
Schaefer, M.T
Peiretti, J
Sharda, A
Badua, S
Singh, R
Sharda, A
Sharda, A
Harsha Chepally, R
Sharda, A
Dua, A
Schapaugh, W
Hessel, R
Abon, J.O
Sharda, A
Kaushal, S
Sharda, A
Aryal, B
Sharda, A
Peiretti, J
Pokharel, P
Sharda, A
Gadhwal, M
Aryal, B
Piya, N.K
Sharda, A
Persch, J.R
Flippo, D
Harsha Chepally, R
Piya, N.K
Sharda, A
Flippo, D
Peiretti, J
Gigena, B
BAdua, S
Sharda, A
Dua, A
Sharda, A
Schapaugh, W
Hessel, R
Rai, S
Shende, K
Sharda, A
Kaloya, T
Sharda, A
Dalal, A
Dua, S
Sharda, A
Rai, S
Sharda, A
Berretta, B.G
Topics
Profitability, Sustainability and Adoption
Precision Conservation and Carbon Management
Information Management and Traceability
Precision Crop Protection
Spatial Variability in Crop, Soil and Natural Resources
Sensor Application in Managing In-season Crop Variability
Profitability, Sustainability, and Adoption
Precision Livestock Management
Engineering Technologies and Advances
Precision Nutrient Management
Precision Conservation
Remote Sensing Applications in Precision Agriculture
Information Management and Traceability
Precision Weed Management
Precision Horticulture
Precision Crop Protection
Applications of UAVs (unmanned aircraft vehicle systems) in precision agriculture
Proximal Sensing in Precision Agriculture
Remote Sensing Applications in Precision Agriculture
Profitability, Sustainability and Adoption
Precision Nutrient Management
Precision Dairy and Livestock Management
Decision Support Systems in Precision Agriculture
Engineering Technologies and Advances
On Farm Experimentation with Site-Specific Technologies
Robotics, Guidance and Automation
Precision Agriculture and Global Food Security
On Farm Experimentation with Site-Specific Technologies
Precision Crop Protection
Artificial Intelligence (AI) in Agriculture
Proximal and Remote Sensing of Soils and Crops (including Phenotyping)
Digital Agriculture Solutions for Soil Health and Water Quality
Big Data, Data Mining and Deep Learning
Data Analytics for Production Ag
Precision Agriculture for Sustainability and Environmental Protection
Wireless Sensor Networks and Farm Connectivity
Type
Poster
Oral
Year
2012
2010
2014
2016
2018
2022
2024
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Authors

Filter results53 paper(s) found.

1. Hyperspectral Imaging Of Sugar Beet Symptoms Caused By Soil-borne Organisms

The soil-borne pathogen Rhizoctonia solani and the plant parasitic nematode Heterodera schachtii are the most important constraints in sugar beet production worldwide. Symptoms caused by fungal infection are yellowing of leaves and rotting of the beet tuber late in the cropping season. Nematode afflicted plants show stunted growth early in the cropping season and also leaf wilting late in the season when water stress often sets in. Due to the low mobility of soil-borne organisms, they are ideal... C. Hillnhuetter, A. Mahlein, R.A. Sikora, E. Oerke

2. Economic Profitability Of Site-specific Pesticide Management At The Farm Scale For Crop Systems In Haute-Normandie (France)

 Modern agriculture requires decision making criteria applicable to different scales of territory in order to reconcile productivity and respect of the environment, particularly for pest management. Taking into account the recent environmental... O. Bourgain, C. Duval, J. Llorens

3. GNSS Tracking Of Livestock: Towards Variable Fertilizer Strategies For The Grazing Industry

This study reveals the potential for GPS tracking in the grazing industry. By monitoring the locations and movement of livestock, times of peak grazing activity can be identified and these can in turn produce maps of preferred grazing areas, and by examining residency times provide an indication of spatial variability in grazing pressure. A comparison of grazing preference can be made to similarly inferred camping areas to understand the potential redistribution of nutrients within a paddock.... M.G. Trotter, D.W. Lamb, G.N. Hinch, C.N. Guppy

4. Ultra Low Level Aircraft (ULLA) As A Platform For Active Optical Sensing Of Crop Biomass

Crop producers requiring crop biomass maps to support timely application of in-season fertilisers, pesticides or growth regulators rely on either on-ground active sensors or airborne/satellite imagery. Active crop sensing (for example using Yara N-SensorTM, GreenseekerTM or CropcircleTM) can only be used when the crop is accessible by person or vehicle, and extensive, high-resolution coverage is time consuming. On the other hand, airborne or satellite imaging is... D.W. Lamb, M.G. Trotter, D. Schneider

5. Precision Agricultural Branding Using Near-infrared Spectroscopy System

... Y. Kojima, S. Shibusawa, R. Fusamura, M. Sonoda

6. Site-specific Fertilization Management: Influence Of The Past History Of The Addition Of Fertilizers On The Intra Field Variability Of The Rate Of P And K In The Soil.

 Site specific crop management adapts the fertilizer amount applied in relation to the intra field crop needs. In this context, tries were carried out under field conditions. The aim of the trials was to develop technico-economic baseline data and methodology of soil sampling for precision agriculture in Upper-Normandy. ... C. Duval, J. Llorens, C. Duval, C. Duval, S. Ta

7. Application Rate Stability When Implementing Automatic Section Control Technology On Agricultural Sprayers

Automatic section control (on and off) technology of sprayer boom sections is an intelligent solution to maximize spray application efficiency during field operations. This technology can reduce over-application of products. Spray controllers available with this technology attempt to maintain the set target rate by adjusting system flow rate based on ground speed and application width.  Therefore, as sections are turned on or off, the flow regulating hardware must respond to maintain... A. Sharda, J.D. Luck, J.P. Fulton, S.A. Shearer, S.A. Shearer, D. Mullenix, M. Vanacht

8. A Comparison Of Alternative Methods For Prioritizing Buffer Placement In Agricultural Watersheds For Water Quality Improvement

Conservation buffers are a widely used best management practice for reducing agricultural nonpoint source pollution. Various governmental programs and community initiatives have been implemented to adopt conservation buffers for water quality improvement. Since there is substantial cost for installing conservation buffers in watersheds, cost-effectiveness would be improved by targeting buffers to locations where they would produce greater benefit and to avoid locations... Z. Qiu, M.G. Dosskey, D. Frieberg

9. Matching Nitrogen To Plant Available Water For Malting Barley On Highly Constrained Vertosol Soil

Crop yield monitoring, high resolution aerial imagery and electromagnetic induction (EMI) soil sensing are three widely used techniques in precision agriculture (PA). Yield maps provide an indication of the crop’s response to a particular management regime in light of spatially-variable constraints. Aerial imagery provides timely and accurate information about photosynthetically-active biomass during crop growth and EMI indicates spatial variability in soil texture, salinity and/or... B. Sauer, C.N. Guppy, M.G. Trotter, D.W. Lamb, J.A. Delgado

10. Multisensor Data Fusion Of Remotely Sensed Imagery For Crop Field Mapping

  A wide variety of remote sensing data from airborne hyperspectral and multispectral images is available for site-specific management in agricultural application and production. Aerial imaging system may offer less expensive and high spatial resolution imagery with Near Infra-Red, Red, Green and Blue spectral wavebands. Hyperspectral sensor provides hundreds of spectral bands. Multisensor data fusion provides an effective paradigm for remote sensing applications by synthesizing... Y. Lan, H. Zhang, C. Yang, D. Martin, R. Lacey, Y. Huang, W.C. Hoffmann, P. Moulton

Showing 1 to 10 of 53 entries