Agroproductive Data Information by Remote Sensing: Applied to the Bahia Blanca Cereal and Products Exchange Region

被引:1
|
作者
Sarmiento G Noelia, Revollo [1 ]
Carlos, Berger E. [1 ]
Juan, Bajo M. [1 ]
Sarmiento Natalia, Revollo, V [1 ]
Claudio, Delrieux A. [1 ]
Nelly, Salomon [2 ]
Bruno, Pazos A. [3 ]
Maria, Antonelli E. [4 ]
Blasco Juan, Ajis J. [4 ]
Borisov, Julian [4 ]
机构
[1] Univ Nacl Sur UNS, Dept Ing Elect & Computadoras, CONICET, San Andres 800 B8002, Bahia Blanca, Buenos Aires, Argentina
[2] UNS, Dept Agron, San Andres 612,B8001, Bahia Blanca, Buenos Aires, Argentina
[3] Inst Patagon Ciencias Sociales & Humanas IPCSH, CONICET, Bv Almirante Brown 2915, Puerto Madryn, Chubut, Argentina
[4] Bolsa Cereales & Prod Bahia Blanca BCPBB, Saavedra 636,B8000, Bahia Blanca, Buenos Aires, Argentina
关键词
Field information; Remote Sensing; Geo technologies; Crops; Plataform;
D O I
10.1109/RPIC53795.2021.9648472
中图分类号
学科分类号
摘要
The Argentine agricultural sector is a relevant worldwide commodity producer, being the main exporter in the country. Conventional crop management systems lead to inefficient time and costs. In Argentina, the Ministry of Agriculture, Livestock and Fisheries is the main entity that collects and reports productive data, a laborious task with high costs, slow and error-prone. Technological improvement and competitiveness of the sector require a new perspective in the current data management, towards digital transformation, achieving more efficiently the capabilities of the agricultural sector. The aim of this article is to introduce an agricultural data management platform, which includes several information-based technologies for enhancing the management of agro-productive establishments data. This system has great potential in data collecting, integration and analytics from diverse sources, with the goal of providing users with consistent and precise access and delivery of relevant data in support of decision making, and to meet the information requirements of all processes. The system is currently in use in an extensive region of the Southwest of the Buenos Aires Province and East of the La Pampa Province, which are under the logistic influence of the Bahia Blanca Port. The platform offers unified access to datasets and satellite imagery, automates the most relevant users processes such as field information upload (i.e., during sowing and harvesting seasons), processing and image visualization. Furthermore, the system includes functionalities such as remote monitoring, tools for crop estimation, and direct access to weather records and forecasts from the National Weather Service (SMN). This development represents a strategic development which goes beyond the purely technological aspects. It is an open innovation tool, promoting the creation of value, aiming at the digital transformation of the agricultural productive system.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Satellite remote sensing data applied for seismic risk assessment of Vrancea region
    Zoran, M
    Braescu, CL
    Aiftimiei, C
    [J]. FIFTH CONFERENCE ON OPTICS (ROMOPTO '97), PTS 1 AND 2, 1998, 3405 : 779 - 783
  • [2] INFORMATION FRACTAL IN THE SCALING OF QUANTITATIVE REMOTE SENSING PRODUCTS
    Zhang, Renhua
    Su, Hongbo
    Tian, Jing
    Chen, Shaohui
    [J]. 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 1043 - 1046
  • [3] Estimation of republic of Kazakhstan cereal areas using remote sensing data
    Zakarin, E
    Spivak, L
    Agbenov, V
    Arkhipkih, O
    Muratova, N
    Terehov, A
    [J]. IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, : 804 - 806
  • [4] Multiple classifiers applied to multisource remote sensing data
    Briem, GJ
    Benediktsson, JA
    Sveinsson, JR
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (10): : 2291 - 2299
  • [5] Remote sensing data applied for monitoring condition of cereals
    Gruszczynska, M
    Dabrowska-Zielinska, K
    Stankiewicz, K
    Janowska, M
    [J]. FUTURE TRENDS IN REMOTE SENSING, 1998, : 243 - 249
  • [6] Information Services of Big Remote Sensing Data
    He, Guojin
    Wang, Guizhou
    Long, Tengfei
    Liu, Huichan
    Jiao, Weili
    Jiang, Wei
    Yin, Ranyu
    Zhang, Zhaoming
    Leng, Wanchun
    Peng, Yan
    Zhang, Xiaomei
    Cheng, Bo
    [J]. BIG SCIENTIFIC DATA MANAGEMENT, 2019, 11473 : 16 - 31
  • [7] APPLIED PROGRAM PACKAGE FOR INFORMATION EXCHANGE WITH REMOTE TERMINALS.
    Apitseryan, E.S.
    Dzhanelidze, M.V.
    Lashauri, M.V.
    Lursmanashvili, D.B.
    Natkovich, Yu.S.
    Sarkisyan, R.A.
    Todua, N.N.
    [J]. Soviet Journal of Automation and Information Sciences (English translation of Avtomatyka), 1985, 18 (04): : 68 - 71
  • [8] Remote Sensing and Geoscience Information Systems Applied to Groundwater Research
    Jung, Hyung-Sup
    Lee, Saro
    [J]. REMOTE SENSING, 2021, 13 (11)
  • [9] A playback software applied to remote sensing video information display
    Wang, Feng
    Xiang, Yuming
    You, Hongjian
    [J]. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 8863 - 8866
  • [10] Remote sensing and GIS data products for hydrological modeling
    Gangodagamage, C
    Aggarwal, SP
    [J]. COMPUTATIONAL METHODS IN WATER RESOURCES, VOLS 1 AND 2, PROCEEDINGS, 2002, 47 : 1551 - 1556