A Field Screening Method Using Earthworms (

Author(s):  
DC Wilborn ◽  
MA Bollman ◽  
CS Gillett ◽  
SL Ott ◽  
GL Linder
1993 ◽  
Author(s):  
Tuan Vo-Dinh ◽  
Wendi Watts ◽  
Gordon H. Miller ◽  
A. Pal ◽  
DeLyle Eastwood ◽  
...  

1997 ◽  
pp. 189-192 ◽  
Author(s):  
K. Ebert ◽  
P. M. Krämer ◽  
A. A. Kettrup

1985 ◽  
Vol 50 (6) ◽  
pp. 1719-1720 ◽  
Author(s):  
J. M. DAMARÉ ◽  
G. W. KRUMM ◽  
R. W. JOHNSTON

1982 ◽  
Vol 65 (4) ◽  
pp. 909-912
Author(s):  
Daniel E Ott ◽  
Francis A Gunther

Abstract A field screening method has been developed for detecting above-tolerance residues of dithiocarbamate (DTC) fungicides on fruits and vegetables. A harvested crop might be condemned as unfit for market if above-tolerance DTC residues are present; however, by using this screening method, a grower might be able to postpone harvesting a crop until the screening test indicates that residues have dissipated below the tolerance level. The method depends on carbon disulfide generated from DTC fungicides at an elevated temperature into the headspace gas above the contents of a septum-sealed reaction flask, with hydrochloric acid and stannous chloride present. The syringe-withdrawn, headspace carbon disulfide then reacts with the appropriate chromophore reagent already in the syringe. The lower limit of detectability is about 2 ppm DTC fungicide from 30 g chopped crop. A single test can be completed in about 90 min; the average time per test when several are conducted sequentially is considerably shorter.


2014 ◽  
Vol 97 (6) ◽  
pp. 528-533
Author(s):  
Shawn R Lin ◽  
Natalia Fijalkowski ◽  
Benjamin R Lin ◽  
Felix Li ◽  
Kuldev Singh ◽  
...  

Plant leaf diseases are significant issue in agriculture field. Some of the common plant leaf diseases are powdery mildew, dark spot and rust. They are a noteworthy wellspring of an immense number of dollar worth of setbacks to farmers on a yearly premise. Plant breeders frequently need to screen countless number of plant leaves to find the stage of diseases of their crops to perform an early treatments. Therefore, a robust method for field screening is needed in order to spare the farmers and the environment as well. Inappropriate used of treatments such as impulsive pesticides can imperil the environment. Hence, this paper present a simple and efficient machine learning method which is Fuzzy C-Means algorithm to screen leaf disease severity in maize. Fuzzy C-Means is a new algorithm and very efficient to be used in object detection. Therefore, it is applicable to detect disease spot in plant leaf and measure the diseases severity. This field screening method help the farmer to identify the progression of the diseases in their crops quicker and easier than the other field screening techniques.


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