Atjaunināt sīkdatņu piekrišanu

E-grāmata: Sensing Technologies for Field and In-House Crop Production: Technology Review and Case Studies

Edited by , Edited by , Edited by , Edited by , Edited by
  • Formāts: EPUB+DRM
  • Sērija : Smart Agriculture 7
  • Izdošanas datums: 27-Nov-2023
  • Izdevniecība: Springer Verlag, Singapore
  • Valoda: eng
  • ISBN-13: 9789819979271
  • Formāts - EPUB+DRM
  • Cena: 154,65 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
  • Formāts: EPUB+DRM
  • Sērija : Smart Agriculture 7
  • Izdošanas datums: 27-Nov-2023
  • Izdevniecība: Springer Verlag, Singapore
  • Valoda: eng
  • ISBN-13: 9789819979271

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

This book focuses on state-of-the-art sensing and automation technologies for field crops and in-house product production and provides a lot of innovative knowledge on image processing, AI algorithms and applications in agriculture, and robotics. This book provides undergraduate or graduate students with take-away knowledge for unmanned agricultural production, including but not limited to corn disease detection, wheat head detection and counting, and soil nutrient condition monitoring. The first three chapters focus on reviewing plant phenotyping sensing technology and robotics and soil nutrient monitoring, followed by in-house crop sensing robotics. Then two case studies on corn and the other two case studies on wheat are presented.

A Review of Three-Dimensional Multispectral Imaging in Plant
Phenotyping.- Recent Advances in Soil Nutrient Monitoring: A Review.- Plant
phenotyping robot platform.- Autonomous crop image acquisition system based
on ROS system.- SeedingsNet: Field wheat seedling density detection based on
deep learning.- Wheat lodging detection using smart vision-based
method.- Design, construction, and experiment-based key parameter de-2
termination of auto maize seed placement system.- Development and test of an
auto seedling detection System.
Dr. Man Zhang is the dean of College of Information and Electric Engineering, China Agricultural University. Her main research areas are plant phenotyping and agricultural machinery navigation.

Dr. Han Li is an associate professor at the College of Information and Electric Engineering, China Agricultural University. Her studies mainly focus on plant phenotyping and robotics.

Dr. Wenyi Sheng is an assistant professor at the College of Information and Electric Engineering, China Agricultural University. Her studies mainly focus on the monitoring of soil conditions.

Dr. Ruicheng Qiu is an associate professor at the College of Information and Electric Engineering, China Agricultural University. He mainly works on crop phenotyping.

Dr. Zhao Zhang received his B.E. and M.E. degrees in Industrial Engineering and Agricultural Mechanization from Northwest A&F University in 2009 and 2012, respectively, and the Ph.D. degree in Agricultural Engineering from The Pennsylvania State University, USA, in 2015. Since November 2021, Dr. Zhang has been in College of Information and Electrical Engineering, China Agricultural University, as a professor.