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Research on High Resolution Remote Sensing Intelligent Computing and Agricultural Service Application

Published: 20 September 2024 Publication History

Abstract

High-resolution remote sensing intelligent interpretation is an important way to achieve precise production and rapid updating of agricultural information. The agricultural information integration service platform guided by data, calculation and decision-making has become a research hotspots of agricultural information services, promoting the transformation of remote sensing big data intelligent computing in smart agriculture from theory to practical application. This article took the agricultural remote sensing computing technology at the land parcel scale as the design concept, proposed an intelligent computing integration model of satellite, air and ground spatiotemporal collaboration, and took smart agriculture service of Chongqing city as an application case to introduce the intelligent production, agricultural management and decision-making services of land parcel scale information. From the perspective of crop planting distribution, growth monitoring and other aspects, information technology was used to provide accurate and timely monitoring and sharing services throughout the entire process of agricultural cultivation, planting, management and harvest, and the necessity of researching the intelligent calculation and models of information service was analyzed in this paper. The area accuracy of agricultural information products of rice, corn and rape all are above 90%. The results will provide regional business support for the government to pay timely attention to the agricultural conditions, participate in agricultural decision-making and provide feasible reference for the promotion of rural revitalization and food security in the future.

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      cover image ACM Other conferences
      FAIML '24: Proceedings of the 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning
      April 2024
      379 pages
      ISBN:9798400709777
      DOI:10.1145/3653644
      This work is licensed under a Creative Commons Attribution International 4.0 License.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 20 September 2024

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      Author Tags

      1. Agriculture
      2. Deep learning
      3. Intelligent computing
      4. Land parcel
      5. Remote Sensing

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      • the Major Special Project of High Resolution Earth Observation System

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