TAILIEUCHUNG - Applications of remote sensing in agriculture - A review

Remote sensing has several advantages in the field of agronomical research purpose. The assessment of agricultural crop canopies has provided valuable insights in the agronomic parameters. Remote sensing play a significant role in crop classification, crop monitoring and yield assessment. The use of remote sensing is necessary in the field of agronomical research purpose because they are highly vulnerable to variation in soil, climate and other physico- chemical changes. The monitoring of agricultural production system follows strong seasonal patterns in relation to the biological life cycle of crops. All these factors are highly variable in space and time dimensions. Moreover, the agricultural productivity can change within short time periods, due to unfavourable growing conditions. Monitoring of agricultural systems should be followed in timely. Remote sensing are important tools in timely monitoring and giving an accurate picture of the agricultural sector with high revisit frequency and high accuracy. For sustainable agricultural management, all the factors which are influencing the agricultural sector need to be analysed on spatiotemporal basis. The remote sensing along with the other advanced techniques such as global positioning systems and geographical information systems are playing a major role in the assessment and management of the agricultural activities. These technologies have many fold applications in the field of agriculture such as crop acreage estimation, crop growth monitoring, soil moisture estimation, soil fertility evaluation, crop stress detection, detection of diseases and pest infestation, drought and flood condition monitoring, yield estimation, weather forecasting, precision agriculture for maintaining the sustainability of the agricultural systems and improving the economic growth of the country. | International Journal of Current Microbiology and Applied Sciences ISSN 2319-7706 Volume 8 Number 01 2019 Journal homepage http Review Article https Applications of Remote Sensing in Agriculture - A Review P. Shanmugapriya S. Rathika T. Ramesh and P. Janaki Anbil Dharmalingam Agricultural College and Research Institute Tamil Nadu Agricultural University Tiruchirapalli-620027 India Corresponding author ABSTRACT Keywords Remote sensing Crop acreage estimation Crop growth monitoring Crop stress detection Yield assessment Weather forecasting Article Info Accepted 14 December 2018 Available Online 10 January 2019 Remote sensing has several advantages in the field of agronomical research purpose. The assessment of agricultural crop canopies has provided valuable insights in the agronomic parameters. Remote sensing play a significant role in crop classification crop monitoring and yield assessment. The use of remote sensing is necessary in the field of agronomical research purpose because they are highly vulnerable to variation in soil climate and other physico- chemical changes. The monitoring of agricultural production system follows strong seasonal patterns in relation to the biological life cycle of crops. All these factors are highly variable in space and time dimensions. Moreover the agricultural productivity can change within short time periods due to unfavourable growing conditions. Monitoring of agricultural systems should be followed in timely. Remote sensing are important tools in timely monitoring and giving an accurate picture of the agricultural sector with high revisit frequency and high accuracy. For sustainable agricultural management all the factors which are influencing the agricultural sector need to be analysed on spatiotemporal basis. The remote sensing along with the other advanced techniques such as global positioning systems and geographical information systems are playing a major role in the .

• Nông nghiệp
• Remote sensing
• Crop acreage estimation
• Crop growth monitoring
• Crop stress detection
• Yield assessment
• Weather forecasting
• 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
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• High Performance
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• Case Study
• Land cover change
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• Quantify forest cover change
• Dien Bien Dong district
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• Morphometric parameters
• Baitarani basin
• Indicate high surface runoff
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• Que Phong district
• Remote sensing – GIS combined
• GIS combined with quick measurement method
• Groundnut water stress
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• A review of seagrass studies
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• The spectral clustering
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• The remote sensing image
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