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Content Provider | IEEE Xplore Digital Library |
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Author | Konam, S. |
Copyright Year | 2014 |
Description | Author affiliation: Electron. & Commun. Eng., RGUKT, Kadapa, India (Konam, S.) |
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. |
Starting Page | 1520 |
Ending Page | 1524 |
File Size | 2191371 |
Page Count | 5 |
File Format | |
ISBN | 9781479930784 |
e-ISBN | 9781479930807 |
DOI | 10.1109/ICACCI.2014.6968635 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-09-24 |
Publisher Place | India |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Quadcopter Machine vision Thresholding Vegetation Agriculture Unmanned aerial vehicles Stereo vision Active appearance model Machinery Mango Cutter Precision Mango Farming |
Content Type | Text |
Resource Type | Article |
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