scholarly journals Priority selection of agro-meteorological parameters for integrated plant diseases management through analytical hierarchy process

Author(s):  
Rutuja Rajendra Patil ◽  
Sumit Kumar

To understand the influence of agro-meteorological parameters to take decisions related to various factors in an integrated plant disease management, it becomes vital to carry out scientific studies on the factors affecting it. The different agro-meteorological parameters namely temperature, humidity, moisture, rain, phenological week, cropping season, soil type, location, precipitation, heat index, and cloud coverage have been considered for this study. Each parameter has been allocated the ranking by using a technique called analytical hierarchical process (AHP). The parameter priorities are determined by calculating the Eigenvalues. This helps to make decisions related to integrated plant disease management where the prediction of plant disease occurrence, yield prediction, irrigation requirements, and fertilization recommendations can be taken. To take these decisions which parameters are good indicators can be identified using this method. The parameters majorly contribute to plant diseases and pest management decision making while delivers minor contribution in irrigation and fertilizer management related decision making. The manual results are compared with software generated results which indicates that both the results correlate with each other. Therefore, AHP technique can be successfully implemented for prioritizing agro-meteorological parameters for integrated plant diseases management as the results for both levels are consistent (consistency ratio < 0.1).

2017 ◽  
Vol 107 (10) ◽  
pp. 1136-1143 ◽  
Author(s):  
Gareth Hughes ◽  
Fiona J. Burnett

The statistical evaluation of probabilistic disease forecasts often involves calculation of metrics defined conditionally on disease status, such as sensitivity and specificity. However, for the purpose of disease management decision making, metrics defined conditionally on the result of the forecast—predictive values—are also important, although less frequently reported. In this context, the application of scoring rules in the evaluation of probabilistic disease forecasts is discussed. An index of separation with application in the evaluation of probabilistic disease forecasts, described in the clinical literature, is also considered and its relation to scoring rules illustrated. Scoring rules provide a principled basis for the evaluation of probabilistic forecasts used in plant disease management. In particular, the decomposition of scoring rules into interpretable components is an advantageous feature of their application in the evaluation of disease forecasts.


EDIS ◽  
2009 ◽  
Vol 2009 (2) ◽  
Author(s):  
Shouan Zhang ◽  
Pamela D. Roberts

Revised! PP-113, a 2-page fact sheet by Shoan Zhang and Pamela D. Roberts, describes the symptoms and cultural controls for four plant diseases common to Sweet Basil in Florida — downy mildew, leaf spot, bacterial leaf spot, and fusarium wilt. Published by the UF Department of Plant Pathology, March 2009. PP-113/PP113: Florida Plant Disease Management Guide: Sweet Basil (ufl.edu)


2001 ◽  
Vol 2 (1) ◽  
pp. 14 ◽  
Author(s):  
Patricia S. McManus ◽  
Virginia O. Stockwell

Streptomycin and oxytetracycline have been used on crop plants for 45 years and 25 years, respectively, without reports of adverse effects on humans. Their efficacy for control of plant diseases has been diminished in some regions due to the emergence of resistant pathogens. However, until effective and economic alternatives become available, antibiotics will remain important in the management of devastating plant diseases. Accepted for publication 19 March 2001. Published 27 March 2001.


2008 ◽  
Vol 65 (spe) ◽  
pp. 71-75 ◽  
Author(s):  
Terry James Gillespie ◽  
Paulo Cesar Sentelhas

Many plant disease outbreaks are triggered by suitably warm temperatures during periods of leaf wetness. Measurements or estimations of leaf wetness duration provided by Agrometeorologists have allowed Plant Pathologists to devise weather timed spray schemes which often reduce the number of sprays required to control plant diseases, thus lowering costs and benefitting the environment. In the near future, tools such as numerical weather models with small grid spacings, and improved weather radar, are expected to reduce the need for tight networks of surface observations. The weather models will also provide growers with forecast warnings of potential upcoming disease outbreaks, which will further enhance the contribution of agrometeorology to plant disease management.


EDIS ◽  
2009 ◽  
Vol 2009 (2) ◽  
Author(s):  
Ken Pernezny ◽  
Amanda Gevens ◽  
Tim Momol ◽  
Aaron Palmateer ◽  
Natalia Peres ◽  
...  

Revised! PPP-6, a 108-page publication by Ken Pernezny, Amanda Gevens, Tim Momol, Aaron Palmateer, Natalia Peres, Richard Raid, Pam Roberts, Gary Vallad, and Shousan Zhang, is a guide to lawful use of sprayable chemicals intended for control of plant diseases affecting vegetables grown in Florida. Published by the UF Department of Plant Pathology, September 2008.


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