LEADER 04387nam 22007815 450 001 9910495191303321 005 20251202140923.0 010 $a3-030-72102-7 024 7 $a10.1007/978-3-030-72102-2 035 $a(CKB)4100000011999338 035 $a(DE-He213)978-3-030-72102-2 035 $a(MiAaPQ)EBC6706902 035 $a(Au-PeEL)EBL6706902 035 $a(OCoLC)1264472336 035 $a(PPN)257354174 035 $a(EXLCZ)994100000011999338 100 $a20210817d2021 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAgricultural Cybernetics /$fby Yanbo Huang, Qin Zhang 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (XIV, 255 p. 111 illus., 94 illus. in color.) 225 1 $aAgriculture Automation and Control,$x2731-3506 311 08$a3-030-72101-9 320 $aIncludes bibliographical references and index. 327 $aPreface -- Introduction -- Mathematics, Statistics and Representations for Cybernetic Systems -- Control and Communication Characteristics of Agricultural Production Systems -- Modeling of Crop Production Systems and System Characterization -- Control Theory and Agricultural Production -- Control of Agricultural production Systems -- Mearning from the Data -- Outlook and Summary Remarks -- Bibliography -- Index. 330 $aAgricultural systems are uniquely complex systems, given that agricultural systems are parts of natural and ecological systems. Those aspects bring in a substantial degree of uncertainty in system operation. Also, impact factors, such as weather factors, are critical in agricultural systems but these factors are uncontrollable in system management. Modern agriculture has been evolving through precision agriculture beginning in the late 1980s and biotechnological innovations in the early 2000s. Precision agriculture implements site-specific crop production management by integrating agricultural mechanization and information technology in geographic information system (GIS), global navigation satellite system (GNSS), and remote sensing. Now, precision agriculture is set to evolve into smart agriculture with advanced systematization, informatization, intelligence and automation. From precision agriculture to smart agriculture, there is a substantial amount of specific control and communication problems that have been investigated and will continue to be studied. In this book, the core ideas and methods from control problems in agricultural production systems are extracted, and a system view of agricultural production is formulated for the analysis and design of management strategies to control and optimize agricultural production systems while exploiting the intrinsic feedback information-exchanging mechanisms. On this basis, the theoretical framework of agricultural cybernetics is established to predict and control the behavior of agricultural production systems through control theory. 410 0$aAgriculture Automation and Control,$x2731-3506 606 $aAgriculture 606 $aControl engineering 606 $aFood science 606 $aCooperating objects (Computer systems) 606 $aEngineering$xData processing 606 $aMachine learning 606 $aAgriculture 606 $aControl and Systems Theory 606 $aFood Science 606 $aCyber-Physical Systems 606 $aData Engineering 606 $aMachine Learning 615 0$aAgriculture. 615 0$aControl engineering. 615 0$aFood science. 615 0$aCooperating objects (Computer systems). 615 0$aEngineering$xData processing. 615 0$aMachine learning. 615 14$aAgriculture. 615 24$aControl and Systems Theory. 615 24$aFood Science. 615 24$aCyber-Physical Systems. 615 24$aData Engineering. 615 24$aMachine Learning. 676 $a635 676 $a338.16 700 $aHuang$b Yanbo$f1958-$0772193 702 $aZhang$b Qin$f1956- 712 02$aLINK (Online service).$4oth 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910495191303321 996 $aAgricultural cybernetics$92841944 997 $aUNINA