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https://doi.org/10.5...arrow_drop_down
https://doi.org/10.58532/v3bca...
Part of book or chapter of book . 2024 . Peer-reviewed
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PRECISION WEED MANAGEMENT TECHNIQUES FOR SMART AGRICULTURE

Authors: Gayatree Mishra; Ashok Kumar Mohapatra; Sweta Rath;

PRECISION WEED MANAGEMENT TECHNIQUES FOR SMART AGRICULTURE

Abstract

The global population's growth has led to an increased demand for food production, consequently placing greater pressure on agricultural systems. Additionally, challenges linked to climate change, water scarcity, and diminishing arable land pose significant threats to the sustainability of farming. Weeds play a detrimental role in agricultural systems by competing for natural resources, thereby reducing both the quality and productivity of food production. To address this issue effectively and sustainably, it is essential to integrate various weed management methods, such as cultural, mechanical, and chemical approaches, in a balanced manner that does not harm the overall agrarian ecosystem. Consequently, it is crucial to avoid overreliance on intensive mechanization and herbicide usage, as the development of herbicide-resistant weed biotypes has become a substantial global concern, dating back to the emergence of 2,4-D resistance in the United Kingdom, Hawaii, the USA, and Canada in 1957. Given this situation, weed scientists must explore alternative weed management strategies that enhance agricultural productivity within the context of smart agriculture. Simultaneously, recent advancements in weed control technologies have the potential to increase food production levels, reduce input requirements, and mitigate environmental damage, thus moving us closer to more sustainable agricultural systems. Precision weed management (PWM) is one such alternative strategy that increases farm productivity by combining integrated weed management practices (chemical, mechanical, manual, and cultural) with site-specific, economically viable weed sensing systems (both aerial and ground-based). In order to help the farming community, weed experts should proactively focus their future research efforts on developing and integrating these techniques.

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citations
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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