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https://doi.org/10.5772/intech...
Part of book or chapter of book . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Digital Innovations in Cotton Farming

Authors: Ghulam Sarwar; Muazzama Batool; Muhammad Tauseef;

Digital Innovations in Cotton Farming

Abstract

Challenges to cotton farming in recent scenario of climatic changes can be mitigated by digital innovations and applications in cotton farming. Digital innovations can offer numerous opportunities for sustainability and improved productivity. Technologies including remote sensing, digital information system, and artificial intelligence can boost/redefine crop monitoring and management practices. Implementation of technologies like smart sensors, satellite imaging, management software/machine learning, autonomous machinery can redefine decision making about crop with the higher yield and lower costs of inputs. Environmental impacts of hazardous crop protection chemicals and inefficient use of irrigation water contributes to loss in biodiversity. In a market chain, digital innovations can assist in transparency and traceability to meet consumer demand and sustainability.

  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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
hybrid
Related to Research communities
Italian National Biodiversity Future Center