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Information Journal Paper

Title

APPLICATION OF MULTI TEMPORAL REMOTE SENSING FOR PRECISION FARMING

Pages

  215-231

Abstract

 Precision farming aims to optimize field-level management by providing information on production rate, crop needs, nutrients, pest/disease control, environmental contamination, timing of field practices, soil organic matter and irrigation.Remote sensing and GIS have made huge impacts on agricultural industry by monitoring and managing AGRICULTURAL LANDS. Using vegetation indices have been widely used for quantifying net annual production on different scales. The aim of this study was to find a rapid method with acceptable precision for the identification and classification of AGRICULTURAL LANDS under cultivation (wheat and barley, alfalfa and potatoes). We used multi-temporal AWiFS data and applied BOOLEAN LOGIC and UNSUPERVISED CLASSIFICATION.Results indicated that BOOLEAN LOGIC approach had a higher accuracy and precision in comparison to UNSUPERVISED CLASSIFICATION, although it is more complicated and time consuming.

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  • Cite

    APA: Copy

    KHODAKARAMI, L., & SOFFIANIAN, A.. (2012). APPLICATION OF MULTI TEMPORAL REMOTE SENSING FOR PRECISION FARMING. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), 16(59), 215-231. SID. https://sid.ir/paper/14619/en

    Vancouver: Copy

    KHODAKARAMI L., SOFFIANIAN A.. APPLICATION OF MULTI TEMPORAL REMOTE SENSING FOR PRECISION FARMING. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES)[Internet]. 2012;16(59):215-231. Available from: https://sid.ir/paper/14619/en

    IEEE: Copy

    L. KHODAKARAMI, and A. SOFFIANIAN, “APPLICATION OF MULTI TEMPORAL REMOTE SENSING FOR PRECISION FARMING,” WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), vol. 16, no. 59, pp. 215–231, 2012, [Online]. Available: https://sid.ir/paper/14619/en

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