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Development of a site-specific herbi...

Givens, Wade Alexander.

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Development of a site-specific herbicide application decision support system.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Development of a site-specific herbicide application decision support system./
作者:	Givens, Wade Alexander.
面頁冊數:	95 p.
附註:	Adviser: David R. Shaw.
Contained By:	Masters Abstracts International45-04.
標題:	Agriculture, Agronomy. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1441766

Development of a site-specific herbicide application decision support system.
Givens, Wade Alexander.

Development of a site-specific herbicide application decision support system. - 95 p.

Adviser: David R. Shaw.

Thesis (M.S.)--Mississippi State University, 2007.

Sampling techniques and interpolation methods were compared to assess the accuracy of each pattern/method combination. Neither the pattern nor method impacted the results of the predicted average values for a given weed species.Subjects--Topical Terms:

1018679
Agriculture, Agronomy.

Development of a site-specific herbicide application decision support system.
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245 1 0 $a Development of a site-specific herbicide application decision support system.
300 $a 95 p.
500 $a Adviser: David R. Shaw.
500 $a Source: Masters Abstracts International, Volume: 45-04, page: 1841.
502 $a Thesis (M.S.)--Mississippi State University, 2007.
520 $a Sampling techniques and interpolation methods were compared to assess the accuracy of each pattern/method combination. Neither the pattern nor method impacted the results of the predicted average values for a given weed species.
520 $a Weeds typically grow in patches across agricultural landscapes. Because of this characteristic growth pattern, it seems logical to apply herbicides site-specifically to control them. The primary objective of this research was to develop a site-specific herbicide decision support system. Additional objectives include evaluating the effects of sampling patterns and interpolation techniques for weed mapping accuracy and evaluating texture analysis for weed patch detection in row-crops.
520 $a The last objective addressed was texture analysis' ability to distinguish weed patches in row-crops. Texture analysis performed better on late season imagery, with the highest classification accuracies (45 to 75%) coming from distinguishing areas that were below a given weed threshold from those that were above.
590 $a School code: 0132.
650 4 $a Agriculture, Agronomy. $3 1018679
650 4 $a Agriculture, Plant Pathology. $3 1028950
650 4 $a Agriculture, Soil Science. $3 1017824
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856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1441766