TAILIEUCHUNG - Remote sensing as pest forecasting model in agriculture

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. | 2018 7 3 2680-2689 EXCELLENT PUBLISHERS International Journal of Current Microbiology and Applied Sciences ISSN 2319-7706 Volume 7 Number 03 2018 Journal homepage http Review Article https Remote Sensing as Pest Forecasting Model in Agriculture D. Sudha Rani1 . Venkatesh2 Ch. Naga Satya Sri2 and K. Anand Kumar2 1 Scientist laHomology Agricultural Research Station Garikapadu Krishna dt India 2Agricultural Polytechnic Garikapadu Krishna dt India Corresponding author ABSTRACT Keywords Remote sensing Forecasting model Pests Article Info Accepted 24 February 2018 Available Online 10 March 2018 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 .

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• Remote sensing
• Forecasting model
• Remote sensing as pest forecasting model
• Pest forecasting model in agriculture
• Indian economy contributing nearly
• Journal of technology and science education
• Linking climate change education through the integration
• Kite borne remote sensing system
• Investgatng Climate Change and Remote Sensing
• Analyzing remote sensing data
• LiDAR Data
• Data Transmission
• Sensors and Platforms
• Radiometric Miscalibration
• Thematic Classification
• Remote Sensing Images
• High Performance
• Computer Architectures
• Data Analysis
• Case Study
• Land cover change
• Multi temporal remote sensing data
• Quantify forest cover change
• Dien Bien Dong district
• Groundwater potential
• Groundwater potential zones
• Middle catchment
• Remote sensing and GIS
• Morphometric parameters
• Baitarani basin
• Indicate high surface runoff
• Carbon absorption capacity
• Que Phong district
• Remote sensing – GIS combined
• GIS combined with quick measurement method
• Groundnut water stress
• Hyperspectral remote sensing
• Spectral index
• Hyperspectral remote sensing technique
• Water stress in groundnut
• Reduced photosynthesis
• Morphometric analysis of a drainage basin
• Morphometric analysis
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• Sea surface temperature
• Southwest sea of Vietnam
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• Sea surface temperature trends
• Remote sensing in evaluating
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• Evaluating the PM10 concentration
• Geometric correction
• The algorithm calculates AOD
• Simulated concentration
• Green tree
• Green space study
• Remote sensing data
• Planning of green plants
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• Land cover classification
• Application of remote sensing imagery
• Google Earth Engine
• Algorithms in Google Earth Engine platform
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• interaction and development
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• Mining Systems
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• VNU Journal of Science
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• hydrology
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• digital preprocessing
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• Crop water deficit
• Depleted fraction
• Vietnam Journal of Science and Technology
• A review of seagrass studies
• Satellite remote sensing data
• The southeast Asia
• Status and potential
• The spectral clustering
• The spatial information
• The remote sensing image
• The fuzzy clustering
• The spectral method depends