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Research paper thumbnail of Remote Sensing to Distinguish Soybean from Weeds After Herbicide Application

Weed Technology, 2004

Two experiments, one focusing on preemergence (PRE) herbicides and the other on postemergence (PO... more Two experiments, one focusing on preemergence (PRE) herbicides and the other on postemergence (POST) herbicides, were conducted and repeated in time to examine the utility of hyperspectral remote sensing data for discriminating common cocklebur, hemp sesbania, pitted morningglory, sicklepod, and soybean after PRE and POST herbicide application. Discriminant models were created from combinations of multiple indices. The model created from the second experimental run's data set and validated on the first experimental run's data provided an average of 97% correct classification of soybean and an overall average classification accuracy of 65% for all species. These data suggest that these models are relatively robust and could potentially be used across a wide range of herbicide applications in field scenarios. From the data set pooled across time and experiment types, a single discriminant model was created with multiple indices that discriminated soybean from weeds 88%, on ave...

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Research paper thumbnail of Interactive effects of elevated CO2 and potassium deficiency on photosynthesis, growth, and biomass partitioning of cotton

Field Crops Research, 2005

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Research paper thumbnail of Effects of carbon dioxide, temperature and ultraviolet-B radiation and their interactions on soybean (Glycine max L.) growth and development

Environmental and Experimental Botany, 2007

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Research paper thumbnail of Carbon dioxide and temperature interactions on stem extension, node initiation, and fruiting in cotton

Agriculture, Ecosystems & Environment, 1995

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Research paper thumbnail of Soybean (Glycine max) pollen germination characteristics, flower and pollen morphology in response to enhanced ultraviolet-B radiation

Annals of Botany, 2004

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Research paper thumbnail of Exploring the Limitations for Cotton Growth and Yield

Journal of New Seeds, 2007

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Research paper thumbnail of Carbon dioxide enrichment and temperature effects on cotton canopy photosynthesis, transpiration, and water-use efficiency

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Research paper thumbnail of Remote Sensing to Detect Herbicide Drift on Crops 1

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Research paper thumbnail of Preliminary results of the coupled CWRF-GOSSYM system

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Research paper thumbnail of Interactive Effects of Carbon Dioxide and Nitrogen Nutrition on Cotton Growth, Development, Yield, and Fiber Quality

Agronomy Journal, 2004

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Research paper thumbnail of Differences in in vitro pollen germination and pollen tube growth of cotton cultivars in response to high temperature

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Research paper thumbnail of A Distributed Cotton Growth Model Developed from GOSSYM and Its Parameter Determination

Agronomy Journal, 2012

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Research paper thumbnail of Remote Sensing to Distinguish Soybean from Weeds After Herbicide Application

Weed Technology, 2004

Two experiments, one focusing on preemergence (PRE) herbicides and the other on postemergence (PO... more Two experiments, one focusing on preemergence (PRE) herbicides and the other on postemergence (POST) herbicides, were conducted and repeated in time to examine the utility of hyperspectral remote sensing data for discriminating common cocklebur, hemp sesbania, pitted morningglory, sicklepod, and soybean after PRE and POST herbicide application. Discriminant models were created from combinations of multiple indices. The model created from the second experimental run's data set and validated on the first experimental run's data provided an average of 97% correct classification of soybean and an overall average classification accuracy of 65% for all species. These data suggest that these models are relatively robust and could potentially be used across a wide range of herbicide applications in field scenarios. From the data set pooled across time and experiment types, a single discriminant model was created with multiple indices that discriminated soybean from weeds 88%, on ave...

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Research paper thumbnail of Interactive effects of elevated CO2 and potassium deficiency on photosynthesis, growth, and biomass partitioning of cotton

Field Crops Research, 2005

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Effects of carbon dioxide, temperature and ultraviolet-B radiation and their interactions on soybean (Glycine max L.) growth and development

Environmental and Experimental Botany, 2007

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Carbon dioxide and temperature interactions on stem extension, node initiation, and fruiting in cotton

Agriculture, Ecosystems & Environment, 1995

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Soybean (Glycine max) pollen germination characteristics, flower and pollen morphology in response to enhanced ultraviolet-B radiation

Annals of Botany, 2004

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Exploring the Limitations for Cotton Growth and Yield

Journal of New Seeds, 2007

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Research paper thumbnail of Carbon dioxide enrichment and temperature effects on cotton canopy photosynthesis, transpiration, and water-use efficiency

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Research paper thumbnail of Remote Sensing to Detect Herbicide Drift on Crops 1

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Research paper thumbnail of Preliminary results of the coupled CWRF-GOSSYM system

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Interactive Effects of Carbon Dioxide and Nitrogen Nutrition on Cotton Growth, Development, Yield, and Fiber Quality

Agronomy Journal, 2004

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Research paper thumbnail of Differences in in vitro pollen germination and pollen tube growth of cotton cultivars in response to high temperature

Bookmarks Related papers MentionsView impact

Research paper thumbnail of A Distributed Cotton Growth Model Developed from GOSSYM and Its Parameter Determination

Agronomy Journal, 2012

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