Development and evaluation of a forecasting system for fungal disease in turfgrass
نویسندگان
چکیده
Richard Palmieri1, Lane Tredway2, Dev Niyogi3 &Gary M. Lackmann1 1Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Campus Box 8208, Raleigh, NC 27695-8208, USA 2Department of Plant Pathology, North Carolina State University, Campus Box 3415, Raleigh, NC 27695-3415, USA 3Purdue University, Department of Agronomy and Department of Earth and Atmospheric Sciences, West Lafayette, IN 47907, USA Email: [email protected]
منابع مشابه
Quality Assessment of Turfgrasses Using NTEP Method Compared to an Image-Based Scoring System
The current methods of turfgrass evaluations are often based on human-based assessment methods. However, eliminating subjective errors from such evaluations is often impossible. This research compared the accuracy of human-based and digital image processing-based methods for quality assessment of turfgrasses. Four turfgrass plots were evaluated using the two mentioned methods. In the human-base...
متن کاملQuality Assessment of Turfgrasses Using NTEP Method Compared to an Image-Based Scoring System
The current methods of turfgrass evaluations are often based on human-based assessment methods. However, eliminating subjective errors from such evaluations is often impossible. This research compared the accuracy of human-based and digital image processing-based methods for quality assessment of turfgrasses. Four turfgrass plots were evaluated using the two mentioned methods. In the human-base...
متن کاملExpression of a Novel Antimicrobial Peptide Penaeidin4-1 in Creeping Bentgrass (Agrostis stolonifera L.) Enhances Plant Fungal Disease Resistance
BACKGROUND Turfgrass species are agriculturally and economically important perennial crops. Turfgrass species are highly susceptible to a wide range of fungal pathogens. Dollar spot and brown patch, two important diseases caused by fungal pathogens Sclerotinia homoecarpa and Rhizoctonia solani, respectively, are among the most severe turfgrass diseases. Currently, turf fungal disease control ma...
متن کاملBenchmark Forecasting in Data Envelopment Analysis for Decision Making Units
Although DEA is a powerful method in evaluating DMUs, it does have some limitations. One of the limitations of this method is the result of the evaluation is based on previously data and the results are not proper for forecasting the future changes. So For this purpose, we design feedback loops for forecasting inputs and outputs through system dynamics and simulation. Then we use DEA model to f...
متن کاملEvaluation of Optimal Fuzzy Membership Function for Wind Speed Forecasting
In this paper, a new approach is proposed in order to select an optimal membership function for inputs of wind speed prediction system. Then using a fuzzy method and the stochastic characteristics of wind speed in the previous year, the wind speed modeling is performed and the wind speed for the future year will be predicted. In this proposed method, the average and the standard deviation of in...
متن کامل