Agricultural Studies, Vol. 4, Issue 4, Aug  2020, Pages 1-9; DOI:

Information System (IS) for the Management of  Pests, Diseases

, Vol. 4, Issue 4, Aug  2020, Pages 1-9.


Wafaa Mohamed Haggag 1* , Zakaria Fouad Fawzy 2 , Sameh Mohamed El- Sawy 2

1 Plant Pathology Department, Agricultural and Biological Research Division, National Research Centre, Egypt

2 Vegetable Research Department, Agricultural and Biological Research Division, National Research Centre, Egypt

Received: 24 December 2019; Accepted: 8 April 2020; Published: 30 June 2020

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Climatic damages in agricultural production could seriously affect the national economy. The magnitude of this possible damage could amount to billions of pounds.  The forecast of possible pests and diseases in plant production is another application that requires a constant and reliable flow of weather data. The aid of information technology has changed by our world that helps to produce, store, communicate  and disseminate information. Several major classes of software technologies have been used in decision making for integrated pest management applications over the past few decades. Examples of Integrated Pest Management (IPM) procedures to improve economic yields while reducing inputs include: the integration of pesticides with cultural techniques for disease control; and biological, behavioral and environmental controls of pests such as weeds.  Control of the key pests and diseases on cocoa could shift from blanket calendar-based recommendations to a need-based forecasting system which would be environmentally sustainable. Geographical Information Systems and Global Positioning Systems are currently being used for variable rate application of pesticides and herbicide in Precision Agriculture applications, but the comparatively lesser-used tools of Remote Sensing can be of additional value in integrated pest management practices. Consistency in the application of this information can help in improving crop yield, in controlling crop pests, in crop diseases treatment, and in enhancing the overall crop productivity.


Agriculture, Insecticide, Monitoring, Forecasting , Geographical Information Systems, Crop Diseases Management


© 2017 by the authors. Licensee International Technology and Science Press Limited. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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