A summary of project activities relative to the estimation of potato yields in the Columbia Basin is given. Oregon State University is using a two-pronged approach to yield estimation, one using simulation models and the other using purely empirical models. The simulation modeling approach has used satellite observations to determine key dates in the development of the crop for each field identified as potatoes. In particular, these include planting dates, emergence dates, and harvest dates. These critical dates are fed into simulation models of crop growth and development to derive yield forecasts. Two empirical modeling approaches are illustrated. One relates tuber yield to estimates of cumulative intercepted solar radiation; the other re...
Crop yield forecasting models are needed to help farmers and decision makers cheaply detect crop co...
Data acquisition for parameterization is one of the most important limitations for the use of potato...
Quantifying crop production at regional scales is critical for a wide range of applications, includi...
The estimation of potato yields in the Columbia basin is described. The fundamental objective is to ...
Multispectral aerial and satellite remote sensing plays a major role in crop yield prediction due to...
Multispectral aerial and satellite remote sensing in recent years have proved to be effective tools ...
<div><p>Crop growth and yield monitoring over agricultural fields is an essential procedure for food...
Crop growth and yield monitoring over agricultural fields is an essential procedure for food securit...
Producción CientíficaTraditional potato growth models evidence certain limitations, such as the cost...
One phase of the large area crop inventory project is presented. Wheat yield models based on the inp...
Forecasting of crop production is most important aspect of agricultural statistics system. Yield for...
Wheat grain yields from selected fields in Oklahoma were monitored over a nine-year period using sat...
Accurate high-resolution yield maps are essential for identifying spatial yield variability patterns...
Accurate and timely crop condition monitoring is crucial for food management and the economic develo...
Potatoes are an expensive crop to grow, and many inputs such as fertilizers and pesticides are requi...
Crop yield forecasting models are needed to help farmers and decision makers cheaply detect crop co...
Data acquisition for parameterization is one of the most important limitations for the use of potato...
Quantifying crop production at regional scales is critical for a wide range of applications, includi...
The estimation of potato yields in the Columbia basin is described. The fundamental objective is to ...
Multispectral aerial and satellite remote sensing plays a major role in crop yield prediction due to...
Multispectral aerial and satellite remote sensing in recent years have proved to be effective tools ...
<div><p>Crop growth and yield monitoring over agricultural fields is an essential procedure for food...
Crop growth and yield monitoring over agricultural fields is an essential procedure for food securit...
Producción CientíficaTraditional potato growth models evidence certain limitations, such as the cost...
One phase of the large area crop inventory project is presented. Wheat yield models based on the inp...
Forecasting of crop production is most important aspect of agricultural statistics system. Yield for...
Wheat grain yields from selected fields in Oklahoma were monitored over a nine-year period using sat...
Accurate high-resolution yield maps are essential for identifying spatial yield variability patterns...
Accurate and timely crop condition monitoring is crucial for food management and the economic develo...
Potatoes are an expensive crop to grow, and many inputs such as fertilizers and pesticides are requi...
Crop yield forecasting models are needed to help farmers and decision makers cheaply detect crop co...
Data acquisition for parameterization is one of the most important limitations for the use of potato...
Quantifying crop production at regional scales is critical for a wide range of applications, includi...