This paper introduced the biological characteristics and medicinal value of medlar(Lycium chinense Miller).It studied Chinese wolfberry industry and its agricultural intellectual property resources in Xinjiang.In addi...This paper introduced the biological characteristics and medicinal value of medlar(Lycium chinense Miller).It studied Chinese wolfberry industry and its agricultural intellectual property resources in Xinjiang.In addition,it analyzed main problems such as the lag in the construction of authentic medicinal materials bases and insufficient deep processing of related products.Finally,it proposed eight recommendations including cultivating biological species with more medicinal value and creating an advantageous area of characteristic authentic medicinal materials.展开更多
A part of lanthanides could raise the induction fraquency(IF) of the somatic cell embryo(SCE) in the fruit of Chinese wolfbeny. The effect of thorium and yttrium used for this purpose is not obvious and even plays a r...A part of lanthanides could raise the induction fraquency(IF) of the somatic cell embryo(SCE) in the fruit of Chinese wolfbeny. The effect of thorium and yttrium used for this purpose is not obvious and even plays a role of inhibition when they are used with a concentration of more than 4 ppm.When the combinations of different rare earth elements (RE) are used, the diversity of the effects amongthem is large. Some of them help to raise the iF of the SCE while the others inhibit the generation of SCE.The mischmetal results in the best effect, giving a relative IF of 295.4%.展开更多
Lycium barbarum commonly known as wolfberry or Goji is considered an important ingredient in Japanese,Korean,Vietnamese,and Chinese food and medicine.It is cultivated extensively in these countries and is usually harv...Lycium barbarum commonly known as wolfberry or Goji is considered an important ingredient in Japanese,Korean,Vietnamese,and Chinese food and medicine.It is cultivated extensively in these countries and is usually harvested manually,which is laborintensive and tedious task.To improve the efficiency of harvesting and reduce manual labor,automatic harvesting technology has been investigated by many researchers in recent years.In this paper,an autonomous navigation algorithm using visual cues and fuzzy control is proposed for Wolfberry orchards.At first,we propose a new weightage(2.4B-0.9G-R)to convert a color image into a grayscale image for better identification of the trunk of Lycium barbarum,the minimum positive circumscribed rectangle is used to describe the contours.Then,using the contour points the least square method is used to fit the navigation line and a region of interest(ROI)is computed that improves the realtime accuracy of the system.Finally,a set of fuzzy controllers,for pneumatic steering system,is designed to achieve real-time autonomous navigation in wolfberry orchard.Static image experiments show that the average accuracy rate of the algorithm is above 90%,and the average time consumption is approximately 162 ms,with good robustness and real-time performance.The experimental results show that when the speed is 1 km/h,the maximum lateral deviation is less than 6.2 cm and the average lateral deviation is 2.9 cm,which meets the requirements of automatic picking of wolfberry picking robot in real-world environments.展开更多
基金Supported by Youth Project of National Social Science Fund of China(22CMZ015)。
文摘This paper introduced the biological characteristics and medicinal value of medlar(Lycium chinense Miller).It studied Chinese wolfberry industry and its agricultural intellectual property resources in Xinjiang.In addition,it analyzed main problems such as the lag in the construction of authentic medicinal materials bases and insufficient deep processing of related products.Finally,it proposed eight recommendations including cultivating biological species with more medicinal value and creating an advantageous area of characteristic authentic medicinal materials.
文摘A part of lanthanides could raise the induction fraquency(IF) of the somatic cell embryo(SCE) in the fruit of Chinese wolfbeny. The effect of thorium and yttrium used for this purpose is not obvious and even plays a role of inhibition when they are used with a concentration of more than 4 ppm.When the combinations of different rare earth elements (RE) are used, the diversity of the effects amongthem is large. Some of them help to raise the iF of the SCE while the others inhibit the generation of SCE.The mischmetal results in the best effect, giving a relative IF of 295.4%.
基金This work was supported by The National Key Research and Development Program of China(2016YFD0701501)supported by the Fundamental Research Funds for the Central Universi-tiesThe National Science Foundation Program of China(51975574).
文摘Lycium barbarum commonly known as wolfberry or Goji is considered an important ingredient in Japanese,Korean,Vietnamese,and Chinese food and medicine.It is cultivated extensively in these countries and is usually harvested manually,which is laborintensive and tedious task.To improve the efficiency of harvesting and reduce manual labor,automatic harvesting technology has been investigated by many researchers in recent years.In this paper,an autonomous navigation algorithm using visual cues and fuzzy control is proposed for Wolfberry orchards.At first,we propose a new weightage(2.4B-0.9G-R)to convert a color image into a grayscale image for better identification of the trunk of Lycium barbarum,the minimum positive circumscribed rectangle is used to describe the contours.Then,using the contour points the least square method is used to fit the navigation line and a region of interest(ROI)is computed that improves the realtime accuracy of the system.Finally,a set of fuzzy controllers,for pneumatic steering system,is designed to achieve real-time autonomous navigation in wolfberry orchard.Static image experiments show that the average accuracy rate of the algorithm is above 90%,and the average time consumption is approximately 162 ms,with good robustness and real-time performance.The experimental results show that when the speed is 1 km/h,the maximum lateral deviation is less than 6.2 cm and the average lateral deviation is 2.9 cm,which meets the requirements of automatic picking of wolfberry picking robot in real-world environments.
