Intelligent Bioproduction System towards Environment Protection

Access this Article

Search this Article

Author(s)

Abstract

A complex interaction involving temporal as well as spatial factors influences plant growth and development. To optimally control the environment for plant growth, an important first step is to develop crop growth models that can predict daily plant growth based on weather data, management practices, and plant genetic information. When this is accomplished, sensing data can contribute to enhanced accuracy of the plant growth model. Recent efforts to integrate plant growth models with sensing methods have provided an opportunity to optimize future plant production systems. In other words, good results require feedback from plants. The general concept is coined the ‘speaking plant’ concept. Consequently, sensors are an essential part of control systems. Machine vision can provide information about current crop status, including growth, nutrient stress and pest infestation. In this paper, current technologies are introduced and sensing system using artificial intelligence are described.

Journal

  • Environment Control in Biology

    Environment Control in Biology 47(2), 111-120, 2009-06-30

    Japanese Society of Agricultural, Biological and Environmental Engineers and Scientists

References:  11

Cited by:  1

Codes

  • NII Article ID (NAID)
    10024918083
  • NII NACSIS-CAT ID (NCID)
    AA12029220
  • Text Lang
    ENG
  • Article Type
    Journal Article
  • ISSN
    1880554X
  • NDL Article ID
    10257415
  • NDL Source Classification
    ZR1(科学技術--生物学)
  • NDL Call No.
    Z78-A361
  • Data Source
    CJP  CJPref  NDL  J-STAGE 
Page Top