Title :
Agricultural Aid for Mango cutting (AAM)
Author_Institution :
Electron. & Commun. Eng., RGUKT, Kadapa, India
Abstract :
Mango cultivation methods being adopted currently are ineffective and low productive despite consuming huge man power. Advancements in robust unmanned aerial vehicles (UAV´s), high speed image processing algorithms and machine vision techniques, reinforce the possibility of transforming agricultural scenario to modernity within prevailing time and energy constraints. Present paper introduces Agricultural Aid for Mango cutting (AAM), an Agribot that could be employed for precision mango farming. It is a quadcopter empowered with vision and cutter systems complemented with necessary ancillaries. It could hover around the trees, detect the ripe mangoes, cut and collect them. Paper also sheds light on the available Agribots that have mostly been limited to the research labs. AAM robot is the first of its kind that once implemented could pave way to the next generation Agribots capable of increasing the agricultural productivity and justify the existence of intelligent machines.
Keywords :
agriculture; autonomous aerial vehicles; cutting tools; helicopters; productivity; robot vision; AAM robot; UAV; agribot; agricultural aid for mango cutting; agricultural productivity; agricultural scenario; ancillaries; cutter systems; energy constraints; high speed image processing algorithms; intelligent machines; machine vision techniques; mango cultivation methods; precision mango farming; quadcopter; robust unmanned aerial vehicles; time constraints; vision systems; Active appearance model; Agriculture; Machine vision; Machinery; Unmanned aerial vehicles; Vegetation; Mango Cutter; Precision Mango Farming; Quadcopter; Stereo vision; Thresholding;
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4799-3078-4
DOI :
10.1109/ICACCI.2014.6968635