National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
Agriculture plays a dominant role in the growth of Indian economy contributing nearly 28 per cent towards Gross Domestic Product (GDP). Insect pests (14 per cent), diseases and weeds inflict enormous losses to the potential agricultural production. The yield losses due to pest population can be suppressed to be greater extent if their incidence is known well in advance so that timely adoption of remedial measures is possible. This led to a concept of ‘forecasting’ which is an important component of the IPM strategy. Forecasting methods are based on the models that utilize data on weather parameters, farmer’s eye estimates, agrometerological conditions, remote sense crop reflectance observations etc. either separately or in an integrated manner. The visual detection of plant responses to biotic stresses with acceptable levels of accuracy, precision and speed is difficult. These responses affect the amount and quality of electromagnetic radiation reflected from crop canopies. Hence, remote sensing is the technique involving instruments that measure and record the changes in electromagnetic radiation and provides better means of objectively quantifying biotic stresses in comparison to visual assessment methods. In this review article, briefed the concept, principles and types of remote sensing with some case studies to augment the acquaintance on the concept of “Remote Sensing” as pest forecasting model.
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