Objective] This study aimed to explore the biological basis and microcli-mate effects in intercropping jujube orchard. [Method] From 2009 to 2011, jujube was intercroped with wheat, peanut, soybean, garlic, watermelon...Objective] This study aimed to explore the biological basis and microcli-mate effects in intercropping jujube orchard. [Method] From 2009 to 2011, jujube was intercroped with wheat, peanut, soybean, garlic, watermelon, vegetables etc. By fixed observation and simultaneous mobile observation, the field microclimate factors such as the air temperature, surface temperature, air relative humidity, wind speed, etc. were measured, with mono-crop farmland as the control. [Result] The competi-tion relationship existed between jujube trees and the intercropped plants for re-sources such as il umination, fertilizer, and water; however there were differences in phenological phases and the critical periods in needing for water, fertilizer and il u-mination between jujube and intercropped plants. Meanwhile, there was significant difference （P〈0.05） in the variation of agricultural microclimate environment in jujube field compared with that in control farmland. Compared with the control, the air tem-perature in intercropping jujube orchard was reduced by 0.2 to 0.7 ℃, the earth surface temperature reduction ranged from 2.1 to 2.5 ℃, the relative air humidity increased by 3.7% to 6.8% and the wind speed decreased by 0.2 to 0.4 m/s. [Conclusion] Al above results showed that intercropping in jujube orchard could be promoted in central China and northern China areas.展开更多
To realize automatic harvesting of the jujube,the jujube harvester was designed and manufactured.For achieving the jujube harvester autopilot,a novel algorithm for visual navigation path detection was proposed.The cen...To realize automatic harvesting of the jujube,the jujube harvester was designed and manufactured.For achieving the jujube harvester autopilot,a novel algorithm for visual navigation path detection was proposed.The centerline of tree row lines was taken as the navigation path.The method included four main parts:image preprocessing,image segmentation,tree row lines access,and navigation path access.The methods of threshold segmentation,noise removal,and border smoothing were utilized on the image in Lab color space for the image segmentation.The least square method was employed to fit the tree row lines,and the centerline was obtained as the navigation path.Experimental results indicated that the average false detection rate was 3.98%,and the average detection speed was 41 fps.The algorithm meets the requirements of the jujube harvester autopilot in terms of accuracy and speed.It also can lay the foundation for accomplishing the jujube harvester vision-based autopilot.展开更多
基金Supported by Science and Technology Development Program of Department of Science and Technology of Henan Province(2006220001)~~
文摘Objective] This study aimed to explore the biological basis and microcli-mate effects in intercropping jujube orchard. [Method] From 2009 to 2011, jujube was intercroped with wheat, peanut, soybean, garlic, watermelon, vegetables etc. By fixed observation and simultaneous mobile observation, the field microclimate factors such as the air temperature, surface temperature, air relative humidity, wind speed, etc. were measured, with mono-crop farmland as the control. [Result] The competi-tion relationship existed between jujube trees and the intercropped plants for re-sources such as il umination, fertilizer, and water; however there were differences in phenological phases and the critical periods in needing for water, fertilizer and il u-mination between jujube and intercropped plants. Meanwhile, there was significant difference （P〈0.05） in the variation of agricultural microclimate environment in jujube field compared with that in control farmland. Compared with the control, the air tem-perature in intercropping jujube orchard was reduced by 0.2 to 0.7 ℃, the earth surface temperature reduction ranged from 2.1 to 2.5 ℃, the relative air humidity increased by 3.7% to 6.8% and the wind speed decreased by 0.2 to 0.4 m/s. [Conclusion] Al above results showed that intercropping in jujube orchard could be promoted in central China and northern China areas.
基金supported by the National Key R&D Program of China(No.2016YFD0701504).
文摘To realize automatic harvesting of the jujube,the jujube harvester was designed and manufactured.For achieving the jujube harvester autopilot,a novel algorithm for visual navigation path detection was proposed.The centerline of tree row lines was taken as the navigation path.The method included four main parts:image preprocessing,image segmentation,tree row lines access,and navigation path access.The methods of threshold segmentation,noise removal,and border smoothing were utilized on the image in Lab color space for the image segmentation.The least square method was employed to fit the tree row lines,and the centerline was obtained as the navigation path.Experimental results indicated that the average false detection rate was 3.98%,and the average detection speed was 41 fps.The algorithm meets the requirements of the jujube harvester autopilot in terms of accuracy and speed.It also can lay the foundation for accomplishing the jujube harvester vision-based autopilot.
