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WEED DETECTION AND EXTRACTION ROBOT

Authors: MR. JASON ANTONIO DE SOUZA;

WEED DETECTION AND EXTRACTION ROBOT

Abstract

Abstract—Agriculture has been a major part of our lifestyle since decades. Life cannot exist without it. It is the main source of livelihood for many people worldwide. It is the back bone of the economic system and plays a critical role in the entire life of a given economy. Weeds are the most important biotic constraints to agriculture production. In general, weeds present the highest potential yield loss to crops. Weed control costs a fortune for farmers and use of herbicides for the same leads to high detriment of soil fertility. There is an acute urgency to find an alternate method to locate and deal with these weeds without using any weed killers. In this paper we are showcasing the implementation of a more efficient way to detect weeds in farms and fields. Index Terms—component, formatting, style, styling, insert

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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