Control of the State of Agrocenosis and Soil Environment According to Remote Sensing Data

被引:0
|
作者
Mikhailenko, I. M. [1 ]
Timoshin, V. N. [1 ]
机构
[1] FGBNU Agrophys Res Inst, Grazhdansky Prospect 14, St Petersburg 195220, Russia
来源
CYBERNETICS AND CONTROL THEORY IN SYSTEMS, VOL 2, CSOC 2024 | 2024年 / 1119卷
关键词
Agricultural Technology Management; Agrocenoses; Real Time; Program Control; Mathematical Models and Algorithms; MANAGEMENT;
D O I
10.1007/978-3-031-70300-3_6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The work develops the theory of real-time management of agricultural technologies. This development is aimed at increasing the efficiency of this type of management. It is achieved through a deeper use of Earth remote sensing data, on the basis of which the parameters of the state of crops, weeds and the soil environment are assessed. Such assessments are formed at the onset of pre-selected phenological phases of crop development. Due to the selection of these phenophases, the growing season of the crop is divided into separate management intervals. For the end of each management interval, local management goals are preliminarily determined to ensure the achievement of the final management goal - the specified crop yield. In this case, in order to obtain a sequence of local control goals, a program control problem is first solved, based on the results of which an optimal program for the evolution of the state of crop sowing is formed from the germination phenophase to the final result. The results obtained have no analogues in modern agricultural science. #CSOC1120
引用
收藏
页码:88 / 103
页数:16
相关论文
共 50 条
  • [1] ESTIMATION OF PARAMETERS OF STATE OF CROPS AND SOIL ENVIRONMENT TO REMOTE SENSING DATA
    Mikhailenko, Ilya
    Timoshin, Valeriy
    19TH INTERNATIONAL SCIENTIFIC CONFERENCE ENGINEERING FOR RURAL DEVELOPMENT, 2020, : 153 - 164
  • [2] MONITORING THE STATE OF AGROCENOSIS WITH THE USE OF REMOTE-SENSING GYRO SYSTEM
    Bzowska-Bakalarz, Malgorzata
    Bieganowski, Andrzej
    Beres, Pawel Krystian
    Dammer, Karl-Heinz
    Ostroga, Katarzyna
    Siekaniec, Lukasz
    Wieczorek, Anna
    FARM MACHINERY AND PROCESSES MANAGEMENT IN SUSTAINABLE AGRICULTURE, 2017, : 64 - 69
  • [3] Development of a methodology for assessing the parameters of the state of crops and soil environment for crops according to remote sensing of the Earth
    Mikhailenko, I. M.
    Timoshin, V. N.
    III INTERNATIONAL SCIENTIFIC CONFERENCE: AGRITECH-III-2020: AGRIBUSINESS, ENVIRONMENTAL ENGINEERING AND BIOTECHNOLOGIES, PTS 1-8, 2020, 548
  • [4] AGROCENOSIS PRODUCTIVITY MODELING ON THE BASIS OF STATE FUNCTION OF THE SYSTEM AGROCENOSIS ENVIRONMENT
    BROVKIN, VA
    DENISENKO, EA
    SHULGIN, IA
    ZHURNAL OBSHCHEI BIOLOGII, 1991, 52 (06): : 855 - 862
  • [5] Control of the State of Agrocenoses Based on Earth Remote Sensing Data
    Mikhailenko, I. M.
    Timoshin, V. N.
    COSMIC RESEARCH, 2023, 61 (SUPPL 1) : S89 - S97
  • [6] Control of the State of Agrocenoses Based on Earth Remote Sensing Data
    I. M. Mikhailenko
    V. N. Timoshin
    Cosmic Research, 2023, 61 : S89 - S97
  • [7] A virtual environment for remote sensing data exploration
    Di Carlo, W
    VISUAL DATA EXPLORATION AND ANLYSIS VI, 1999, 3643 : 71 - 80
  • [8] Applications of GIS and Remote Sensing in Soil Environment Monitoring
    Ganga, Antonio
    Elia, Mario
    Repe, Blaz
    SUSTAINABILITY, 2023, 15 (18)
  • [9] THE ENVIRONMENT, REMOTE-SENSING, AND MALARIA CONTROL
    ROBERTS, DR
    RODRIGUEZ, MH
    DISEASE IN EVOLUTION: GLOBAL CHANGES AND EMERGENCE OF INFECTIOUS DISEASES, 1994, 740 : 396 - 402
  • [10] Cloud Computing in Remote Sensing : High Performance Remote Sensing Data Processing in a Big data Environment
    Sabri, Y.
    Aouad, S.
    INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2021, 16 (06)