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Maji, M.D.,Sengupta, T.,Das, C.,Urs, S.Raje Korean Society of Sericultural Science 2004 International Journal of Industrial Entomology Vol.9 No.2
Post-infectional biochemical changes due to Xanthomonas campestris pv. mori (Xcm) infection in five elite mulberry varieties viz., $S_1$, $S_{1635}$, $V_1$, RF $S_{175}$ and JRH was studied under inoculated condition. It was revealed that total soluble sugar and protein content was significantly declined in all the varieties due to X. campestris infection. Total phenol content was at par prior to inoculation in all varieties, but it was significantly increased in $S_1$, RF $S_{175}$, $S_{1635}$ and JRH 7 days after inoculation. The correlation coefficient (r) between total soluble sugar and total phenol content was found positive (r = 0.825) and statistically significant. Similarly, correlation coefficient (r) between total soluble protein and phenol content was found positive (r = 0.897) and statistically significant. The present study indicates that X. campestris infected leaves are nutritionally inferior in quality and the duration of phenol production in a mulberry variety play decisive role on disease resistance.nce.
Shinde Vijaysingh,A. Dutta,A. Saxena,B. Panda,T. Maji 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In the last few decades there have been several papers in the area of swarm robotics, in which researchers have considered the capture or transfer of an object using a large number of robots or agents. However in these cases the capture and transportation processes have not been optimized in terms of the minimum number of agents required or the best paths. We have earlier proposed the optimal capture and transportation of a moving object using only four agents. This paper is a further extension of our earlier work in which we experimentally evaluate the performance of the multi agent system to capture and transfer a moving 2D prismatic object avoiding obstacles using the least number of agents.A closed loop system is developed using a vision system that can optimally find the goal points on a moving object and control the robots to capture the object. After the object is captured it is optimally guided to the goal point. The results prove that the system can operate autonomously and in real time.