Proceedings

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Sanderson, R
Choi, J
Blasch, G
Schroeder, M.A
Stevens, G
Kruse, D
Schneider, M.F
Roach, J
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Authors
Burns, D
Overstreet, D
Kruse, D
Frazier, R
Blanche, D
Pan, L
Adamchuk, V.I
Martin, D.L
Schroeder, M.A
Fergugson, R.B
Rojo, F
Roach, J
Coates, R
Upadhyaya, S
Delwiche, M
Han, C
Dhillon, R
Dhillon, R
Upadhyaya, S
Roach, J
Crawford, K
Lampinen, B
Metcalf, S
Rojo, F
Friedrich, J
Becker, M
Schneider, M.F
Klingner, S
Sung, N
Chung, S
Kim, Y
han, K
Choi, J
Kim, J
Cho, Y
Jang, S
Blasch, G
Taylor, J.A
Vories, E
Jones, A
Stevens, G
Meeks, C
Taylor, J
Shahar, Y
James, P
Blacker, C
Leese, S
Sanderson, R
Kavanagh, R
Topics
Profitability, Sustainability and Adoption
Modeling and Geo-statistics
Proximal Sensing in Precision Agriculture
Sensor Application in Managing In-season CropVariability
Engineering Technologies and Advances
Engineering Technologies and Advances
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
On Farm Experimentation with Site-Specific Technologies
Geospatial Data
Type
Poster
Oral
Year
2012
2010
2014
2016
2018
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Authors

Filter results9 paper(s) found.

1. Analysis Of Water Use Efficiency Using On-the-go Soil Sensing And A Wireless Network

An efficient irrigation system should meet the demands of the growing crops. While limited water supply may result in yield reduction, excess irrigation is a waste of resources. To investigate water use efficiency, on-the-go sensing technology was used to reveal soil spatial variability relevant to water holding capacity (in this example, field elevation and apparent electrical conductivity). These high-density data layers were used to identify strategic sites where monitoring water availability... L. Pan, V.I. Adamchuk, D.L. Martin, M.A. Schroeder, R.B. Fergugson

2. On-Farm Trials Using Precision Ag in Northeast Louisiana

The availability of yield monitors and precision application equipment on producers’ farms have made it much easier for researchers to take the results from experiment station trials and apply them to producers’ fields.  Treatments/methods are applied in strips, by prescription, embedded plots or in combination.  Fields are divided into zones for analyzing the harvest yield data.  These can include soil type, soil Ec, or other criteria.  Treatments are analyzed... D. Burns, D. Overstreet, D. Kruse, R. Frazier, D. Blanche

3. Development And Evaluation Of A Leaf Monitoring System For Continuous Measurement Of Plant Water Status In Almond And Walnut Crops

Abstract: Leaf temperature measurements using handheld infrared thermometers have been used to predict plant water stress by calculating crop water stress index (CWSI). However, for CWSI calculations it is recommended to measure canopy temperature of trees under saturated, stressed and current conditions simultaneously, which is not very practical while using handheld units. An inexpensive, easy to use sensing system was developed to predict plant water status for tree crops by measuring... F. Rojo, J. Roach, R. Coates, S. Upadhyaya, M. Delwiche, C. Han, R. Dhillon

4. Modeling Canopy Light Interception For Estimating Yield In Almond And Walnut Trees

A knowledge of spatio-temporal variability in potential yield is essential for site-specific nutrient management in crop production. The objectives of this project were to develop a model for photosynthetically active radiation (PAR) intercepted by almond and walnut trees based on data obtained from respective tree(s) and estimate potential crop yield in individual trees or in blocks of five trees. This project uses proximally sensed PAR interception data measured using a lightbar... R. Dhillon, S. Upadhyaya, J. Roach, K. Crawford, B. lampinen, S. Metcalf, F. Rojo

5. New Innovation Approaches In Precision Farming – The Example Of The Base Fertilization Process

Nowadays, innovations in Precision Farming are mostly bound to further developments and new solution approaches on the technical level. However, for efficient service provision it is important to work on strategies for application of these technologies. To satisfy customers’ demands for highly specialized methods and detailed results collaboration between various companies in service consortiums is often required. In doing so, every company can provide its proven and evidentially effective... J. Friedrich, M. Becker, M.F. Schneider, S. Klingner

6. Evaluation of a Sensor and Control Interface Module for Monitoring of Greenhouse Environment

Protected horticulture in greenhouses and plant factories has been increased in many countries due to the advantages of year-round production in controlled environment for improved productivity and quality. For protected horticulture, environmental conditions are monitored and controlled through wired and wireless devices. Various devices are used for monitoring and control of spatial and temporal variability in crop growth environmental conditions. Recently, various sensors and control devices,... N. Sung, S. Chung, Y. Kim, K. Han, J. Choi, J. Kim, Y. Cho, S. Jang

7. Multi-Temporal Yield Pattern Analysis - Adaption of Pattern Recognition to Agronomic Data

In precision agriculture, the understanding of yield variability, both spatial and temporal, can deliver essential information for the decision making of site-specific crop management. Since commercial yield mapping started in the early 1990s, most research studies have focused on spatial variance or short-term temporal variance analyzed statistically in order to produce trend maps. Nowadays, longer records of high-quality yield data are available offering a new potential to evaluate yield variability... G. Blasch, J.A. Taylor

8. Variety Effects on Cotton Yield Monitor Calibration

While modern grain yield monitors are able to harvest variety and hybrid trials without imposing bias, cotton yield monitors are affected by varietal properties. With planters capable of site-specific planting of multiple varieties, it is essential to better understand cotton yield monitor calibration. Large-plot field experiments were conducted with two southeast Missouri cotton producers to compare yield monitor-estimated weights and observed weights in replicated variety trials. Two replications... E. Vories, A. Jones, G. Stevens, C. Meeks

9. Experiences in the Development of Commercial Web-Based Data Engines to Support UK Growers Within an Industry-Academic Partnership

The lifecycle of Precision Agriculture data begins the moment that the measurement is taken, after which it may pass through each multiple data processes until finally arriving as an output employed back in the production system. This flow can be hindered by the fact that many farm datasets have different spatial resolutions. This makes the process to aggregate or analyse multiple Precision Agriculture layers arduous and time consuming.  Precision Decisions Ltd located in Yorkshire,... J. Taylor, Y. Shahar, P. James, C. Blacker, S. Leese, R. Sanderson, R. Kavanagh