Remote Sensing: An Advanced Technique for Crop Condition Assessment

被引:31
|
作者
Ennouri, Karim [1 ,2 ]
Kallel, Abdelaziz [1 ]
机构
[1] Technopk Sfax, Digital Res Ctr Sfax, Sfax, Tunisia
[2] Univ Sfax, Olive Tree Inst, Lab Ameliorat & Protect Olive Genet Resources, Sfax, Tunisia
关键词
ARTIFICIAL NEURAL-NETWORKS; LAND-COVER; CLASSIFICATION; AGRICULTURE; ALGORITHMS; REGRESSION; MACHINE;
D O I
10.1155/2019/9404565
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Actually, cultivators are increasingly arranging innovative high technical and scientific estimations in the aim to enhance agricultural sustainability, effectiveness, and/or plant health. Innovative farming technologies incorporate biology with smart agriculture: computers and devices exchange with one another autonomously in a structured farm management system. Throughout this structure, smart agriculture can be accomplished; cultivators decrease plantation inputs (pesticides and fertilizers) and increase yields via integrated pest management and/or biological control. The emerging concept of remote sensing may provide a framework to systematically consider these issues of smart farming technology and to embed high-tech agriculture better. The impact(s) may be beneficial depending on how tools, such as data mining, and imagery technologies, such as picture treatment and analysis, are applied. Remote sensing technology is discussed in this review and demonstrates its possibility to create novel opportunities for scientists (and agronomists) to explore aspects of biological phenomena that cannot be accessed through usual mechanisms or processes.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Decision support system for integrating remote sensing in bridge condition assessment and preservation
    Endsley, Arthur
    Brooks, Colin
    Harris, Devin
    Ahlborn, Tess
    Vaghefi, Khatereh
    SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2012, PTS 1 AND 2, 2012, 8345
  • [42] Water quality assessment in kelantan delta using remote sensing technique
    School of Physics, Universiti Sains Malaysia, 11800 Pulau Pinang, Malaysia
    不详
    Proc SPIE Int Soc Opt Eng,
  • [43] Assessment of Sedimentation in harakud Reservoir using digital remote sensing technique
    Rathore D.S.
    Choudhary A.
    Agarwal P.K.
    Journal of the Indian Society of Remote Sensing, 2006, 34 (4) : 377 - 383
  • [44] A remote sensing technique for the assessment of stable interannual dynamical patterns of vegetation
    Chernetskiy, M. Y.
    Shevyrnogov, A. P.
    Ovchinnikova, N. F.
    REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XIII, 2011, 8174
  • [45] Water Quality Assessment in Kelantan Delta using Remote Sensing Technique
    Syahreza, S.
    MatJafri, M. Z.
    Lim, H. S.
    Mustapha, M. R.
    ELECTRO-OPTICAL REMOTE SENSING, PHOTONIC TECHNOLOGIES, AND APPLICATIONS VI, 2012, 8542
  • [46] Assessment of Reservoir Sedimentation using Satellite Remote Sensing Technique (SRS)
    Wagh S.
    Manekar V.
    Journal of The Institution of Engineers (India): Series A, 2021, 102 (03) : 851 - 860
  • [47] Assessment of sedimentation in Harakud reservoir using digital remote sensing technique
    Rathore, D. S.
    Choudhary, Anju
    Agarwal, P. K.
    PHOTONIRVACHAK-JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2006, 34 (04): : 377 - 383
  • [48] Use of Statistical Method to Remote Sensing Data for In-season Crop Growth Assessment
    Markand Oza
    Journal of the Indian Society of Remote Sensing, 2014, 42 : 243 - 248
  • [49] Progress in the use of geospatial and remote sensing technologies in the assessment and monitoring of tomato crop diseases
    Mothapo, Mologadi Clodean
    Dube, Timothy
    Abdel-Rahman, Elfatih
    Sibanda, Mbulisi
    GEOCARTO INTERNATIONAL, 2022, 37 (16) : 4784 - 4804
  • [50] Use of Statistical Method to Remote Sensing Data for In-season Crop Growth Assessment
    Oza, Markand
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2014, 42 (01) : 243 - 248