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Modeling and Geo-statistics
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Authors
Basso, B
Bodson, B
Bremer, E
Burns, J
Cerri, D.G
Chen, J
Chou, T
Destain, J
Destain, M
Dumont, B
Elshafie, A
Ferrandis Vallterra, S
Franco, H.C
Greer, K
Kamel, N.N
Khalid, M.B
Kodaira, M
Langrock, M
Leemans, V
Li, Q
Magalhães, P.S
Ohaba, M
Rodrigues Jr., F.A
Sharaf, S
Shibusawa, S
Vancutsem, F
Wagner, P
Yeh, M
Yousef, D.A
Zainal Abidin, M.B
Topics
Modeling and Geo-statistics
Type
Poster
Year
2012
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Filter results7 paper(s) found.

1. Using Soil Attributes To Model Sugar Cane Quality Parameters

The crop area of sugar cane production in Brazil has increased substantially in the last few years, especially to meet the global bioethanol demand. Such increasing production should take place not only in new sugar cane crop areas but mainly with the goal of improving the quality of raw material like sugar content (Pol). Hence, models that can describe the behaviour of the quality parameters of sugar cane may be important to understand the effects of the soil attributes on those parameters. ... F.A. Rodrigues jr., P.S. Magalhães, H.C. Franco, D.G. Cerri

2. Statistical Procedure to Compare Farming Procedures with the Observation of Spatial Trends and Correlations in On-Farm Research

Modern management and machines have been introduced on a demonstration farm in Ganhe (China). This has led to new methods of cultivation with effects on yields, cost structure and thus also on the economic success of the farm. These effects should be tested with the help of an on-farm trial. The cultivation methods differed in the equipment used, plant protection and fertilisation strategies. In contrast to classical field trials, normal working practice farm machinery and fields are used in ... P. Wagner, M. Langrock

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 p... F. Vancutsem, V. Leemans, S. Ferrandis vallterra, B. Bodson, J. Destain, M. Destain, B. Dumont

4. Transient Water Flow Model in a Soil-Plant System for Subsurface Precision Irrigation

The spatial variability of plant-water characteristic in the soil is still unclear. This limits the attempt to model the soil-plant-atmosphere system with this factor. Understanding the non-steady water flow along the soil-plant component is essential to understand their spatial variabili... M.B. Zainal abidin, S. Shibusawa, M. Ohaba, Q. Li, M. Kodaira, M.B. Khalid

5. Evaluation of PRS(TM) Probe Technology and Model for Variable Rate Fertilizer Application in Hummocky Fields in Saskatchewan

... K. Greer, J. Burns, E. Bremer

6. A High-Reliability Database-Supported Modular Precision Irrigation System

Title of Abstract:          A High-Reliability Database-Supported Modular Precision Irrigation System Authors of Abstract:     N. Kamel1, S. Sharaf1, A. El-Shafei... S. Sharaf, A. Elshafie, N.N. Kamel, D.A. Yousef

7. I-SALUS: New Web Based Spatial Systems for Simulating Crop Yield and Environmental Impact

  SALUS (System Approach to Land Use Sustainability) model is designed to simulate the impact of agronomic management on yield and environmental impact. SALUS model has new approaches and algorithms for simulating soil carbon, nitrogen, phosphorous, tillage, soil water balance and yield components. In the past, the use of the crop model was not easy for genera... T. Chou, M. Yeh, J. Chen, B. Basso