Remote sensing and geographic information-based tobacco field tobacco quality monitoring and prediction method

• Main Authors: FAN FENGLEI, ZHONG CHAO, LI QINGGAN, GUO ZHIXING, CHENG TUYI, YAN MALI, CHEN ZEPENG, YANG DUNHUA
• Format: Patent
• Language: Chinese; English
• Published: 01.06.2016
• Subjects: CALCULATING; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention provides a remote sensing and geographic information-based tobacco field tobacco quality monitoring and prediction method. The method includes the following steps that: key factors and obstacle factors of key growth periods of tobacco field tobaccos which influence the quality formation of the tobacco field tobaccos are monitored through a remote sensing quantitative analysis means, wherein the key factors include soil effective water content, tobacco field tobacco growing states and plant water content, and the obstacle factors include tobacco field tobacco lodging, tobacco field tobacco diseases and destructive insects and serious stress environmental conditions of key growth periods such as excessively high temperature of canopies and excessively high rainfall in the grain filling period of the tobacco field tobaccos, and soil blocks where the obstacle factors exist are eliminated from high-quality tobacco field tobacco areas; and the quality of tobacco field tobaccos in a tobacco field tobac