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Ferrandis Vallterra, S
Adrian, A.M
Wardle, E
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Authors
Vancutsem, F
Leemans, V
Ferrandis Vallterra, S
Bodson, B
Destain, J
Destain, M
Dumont, B
Winstead, A.T
Norwood, S.H
Griffin, T
Adrian, A.M
Runge, M
Fulton, J.P
Winstead, A.T
Norwood, S.H
Fulton, J.P
Adrian, A.M
Brown, A.J
Deleon, E
Wardle, E
Topics
Modeling and Geo-statistics
Precision A-Z for Practitioners
Wireless Sensor Networks and Farm Connectivity
Type
Poster
Year
2012
2010
2024
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1. PA Education: Using Social Media

Social media and web-based applications are gaining in popularity for disseminating information and communicating with others. The traditional method of transferring information through print and face-to-face meetings is now often supplemented and/or replaced by web-based outlets. The Alabama Precision Agriculture Program initiated a social media and web campaign as a method of distributing educational information while gaining recognition as a source for precision... A.T. Winstead, S.H. Norwood, J.P. Fulton, A.M. Adrian

2. Adoption And Use Of Precision Agriculture Technologies By Practitioners

A survey of farmers and farm service providers were initiated to ascertain the adoption and use of precision agriculture technologies as well as the barriers to and incentives for adoption. Farm-level data were collected via audience response system at the 2009 Alabama Precision Ag and Field Crops Conference and local winter production meetings across the six crop reporting districts in Alabama. Service provider data were collected using an online survey. Questions common to farmers and service... A.T. Winstead, S.H. Norwood, T. Griffin, A.M. Adrian, M. Runge, J.P. Fulton

3. Assessing the Potential of an Algorithm Based On Mean Climatic Data to Predict Wheat Yield

In crop yield prediction, the unobserved future weather remains the key point of predictions. Since weather forecasts are limited in time, a large amount of information may come from the analysis of past weather data. Mean data over the past years and stochastically generated data are two possible ways to compensate the lack of future data. This research aims to demonstrate that it is possible to predict... F. Vancutsem, V. Leemans, S. Ferrandis vallterra, B. Bodson, J. Destain, M. Destain, B. Dumont

4. Crop and Water Monitoring Networks with Low-cost, Internet of Things Technology

Making meaningful changes in agroecosystems often requires the ability to monitor many environmental parameters to accurately identify potential areas for improvement in water quality and crop production. Increasingly, research questions are requiring larger and larger monitoring networks to draw applicable insights for both researchers and producers. However, acquiring enough sensors to address a particular research question is often cost-prohibitive, making it harder to draw meaningful conclusions... A.J. Brown, E. Deleon, E. Wardle