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Schneider, M
Schepers, J.S
Linz, A
Lejealle, S
LAWAL, J
Liaghat, S
Lambur, M
Singh, G
Luck, J.D
Shanwad, U
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Authors
Liaghat, S
Mansor, S
Shafri, H
Meon, S
Ehsani, R
Azam, S
Noh, N
Schneider, M
Leithold, T
Wagner, P
Gowda, H.H
Reddy, K.A
Patil, M.B
L, R.N
Shanwad, U
Shanwad, U
H, V
N.L., R
Kanannnavar, P.S
Swamy, S
Patil, M.B
Sama, M.P
Shearer, S.A
Luck, J.D
Ru, G
Schneider, M
Kruse, R
Liaghat, S
Balasundram, S.K
LAWAL, J
LAWAL, J
Lejealle, S
Holland, K.H
Schepers, J.S
Stombaugh, T
Zandonadi, R.S
Luck, J.D
McDonald, T.P
McGraw, T
Sharda, A
Luck, J.D
Fulton, J.P
Shearer, S.A
Shearer, S.A
Mullenix, D
Vanacht, M
Singh, M
Sharma, A
Singh, G
Fixen, P
Lambur, M
Ruckelshausen, A
Alheit, K.V
Busemeyer, L
Klose, R
Linz, A
Moeller, K
Rahe, F
Thiel, M
Trautz, D
Weiss, U
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
Hertzberg, J
Ruckelshausen, A
Wunder, E
Linz, A
Schepers, J.S
Holland, K.H
Schepers, J.S
Schepers, A.R
Schepers, J.S
Mclure, B
Swanson, G
Bathke, K.J
Ge, Y
Choudhury, S.D
Luck, J.D
Shi, Y
Islam, M
Steele, K
Luck, J.D
Pitla, S
Ge, Y
Jhala, A
Knezevic, S
Dalla Betta, M.M
Puntel, L
Thompson, L
Mieno, T
Luck, J.D
Cafaro La Menza, N
Paccioretti, P
Bathke, K.J
Cross, T
Luck, J.D
Monroe, T
Luck, J.D
Marx, S
Stansell, J
Luck, J.D
Cross, T
Bathke, K.J
Smith, T
Narayana, C
VanderPlas, S
Bathke, K.J
Luck, J.D
Narayana, C
Thorson, N
Luck, J.D
Vinod, S
Luck, J.D
Kalra, A
Pitla, S
Luck, J.D
Balboa, G
Tobaldo, B
Lexow, T
Luck, J.D
Luck, J.D
Topics
Precision Horticulture
Proximal Sensing in Precision Agriculture
Spatial Variability in Crop, Soil and Natural Resources
Precision Nutrient Management
Engineering Technologies and Advances
Spatial Variability in Crop, Soil and Natural Resources
Remote Sensing Applications in Precision Agriculture
Profitability, Sustainability, and Adoption
Precision A-Z for Practitioners
Sensor Application in Managing In-season Crop Variability
Engineering Technologies and Advances
eXtension: Precision Agriculture on the Internet
Precision Weed Management
Precision Horticulture
Proximal Sensing in Precision Agriculture
Sensor Application in Managing In-season CropVariability
Precision Nutrient Management
Proximal and Remote Sensing of Soils and Crops (including Phenotyping)
Drone Spraying
On Farm Experimentation with Site-Specific Technologies
Digital Agriculture Solutions for Soil Health and Water Quality
Precision Crop Protection
In-Season Nitrogen Management
Extension or Outreach Education of Precision Agriculture
Geospatial Data
Artificial Intelligence (AI) in Agriculture
Education of Precision Agriculture Topics and Practices
Type
Poster
Oral
Year
2012
2010
2014
2024
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Filter results34 paper(s) found.

1. A Clustering Approach For Management Zone Delineation In Precision Agriculture

In recent years, an increasing amount of research has been devoted to the delineation of management zones. There have been quite a number of approaches towards using small-scale data for subdividing the field into a small number of zones, usually three or four. However, these zones are usually static, often require multi-year data sets and are based on low-resolution sampling methods for data acquisition. Furthermore, existing research into the... G. Ru, M. Schneider, R. Kruse

2. Artificial Neural Network Techniques To Predict Orange Spotting Disease In Oil Palm

       Large-Scale oil palm plantations require timely detection of disease symptoms to enable effective intervention. Orange spotting is an emerging disease that significantly reduces oil palm productivity. Remote sensing technology offers the means to detect crop biophysical properties, including crop stress, in a cost effective and non destructive manner. In this study, different portable sensors were used to measure spectral reflectance and chlorophyll... S. Liaghat, S.K. Balasundram

3. Timeliness In Agricultural Credit Delivery: A Precision Tool For Improved Farm Output And Income For Cocoa Farmers In Nigeria

The agricultural sector in Nigeria is still dominated by peasant farmers’ characterized by low level of income and saving capacity. One way to improve their farm capital investment is by providing them with timely and targeted accessible credit to enhance their production outputs and income because of the clear knowledge of the time specific nature of some farm operations. Then, how timely is the agricultural credit in Nigeria? This study determined the time-lag of credit facility disbursed... J. Lawal

4. Precision Farm Labour Supply For Effective Cocoa Production In Nigeria

In Nigeria, labour is an essential factor in farming. In view of the importance of labour in agriculture, this study was carried out to investigate the sources of labour used in cocoa production. Multi-stage sampling technique was used to select 100 cocoa farming households. The first stage was a random selection of two Local Government Areas (LGAs), the second stage was the selection of two communities from each of the LGAs while the third stage involved the random selection of twenty five cocoa... J. Lawal

5. Multiplex : A New Diagnostic Tool For Management Of Nitrogen Fertilization Of Turfgrass

Multiplex is a fluorescence-based optical sensor that measures in real time and in vivo the leaf content of compounds such as chlorophyll and several families of polyphenols (anthocyanins, flavonoïds, hydroxycinnamic acids). We propose here to show that the measurement of leaf chlorophyll and flavonoïd content permits us to evaluate nitrogen status of turfgrass. Actually, experiments have shown that chlorophyll content increases whereas flavonoïd content decreases with increased... S. Lejealle

6. Real-time Calibration Of Active Crop Sensor System For Making In-season N Applications

... K.H. Holland, J.S. Schepers

7. Tools For Evaluating The Potential Of Automatic Section Control

One of the newest technologies in precision agriculture is automatic section control on application equipment. This technology has tremendous potential to reduce wasted inputs, especially on irregularly shaped fields. Paybacks are not necessarily as great on rectangular fields. Producers considering adoption of the technology need to decide whether they will receive sufficient payback for their field shapes. They must also decide... T. Stombaugh, R.S. Zandonadi, J.D. Luck, T.P. Mcdonald, T. Mcgraw

8. 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

9. Development Of Batch Type Yield Monitor For Small Fields

 Abstract The yield monitor is intended to give the user an accurate assessment of yield variations y within a field. A yield monitor can assist grain producers in many aspects of crop management. A yield monitor by itself can provide useful information and enhance on-farm research. Yield data can... M. Singh, A. Sharma, G. Singh, P. Fixen

10. The Scholarship Of eXtension

  eXtension (www.extension.org) is an interactive on-line learning environment delivering "best of the best," researched-based knowledge from the top minds across the land-grant university system.  It is a space where university content providers can collaborate to gather and produce new educational and information resources on wide-ranging topics while continually interacting with their customers to help solve real-life problems in real time.  The works of faculty... M. Lambur

Showing 1 to 10 of 34 entries