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<p>Remote sensing has become a vital component of plant protection system, offering significant details about disease dynamics, insect infestations and crop health. The current review highlighted a standpoint on the innovative and past application of remote sensing and their application exclusively in insect pests, crop diseases, plant parasitic nematodes (PPNs), site-specific weed management (SSWM), soil microbes and environmental hazards. Consequently, it can identify pest and disease invasions as early and notify farmers to implement the appropriate countermeasures to ensure crop health and safeguard the crop yield from significant losses. PPNs can now be diagnosed in the field because of recent advancements in this technology. Pesticides application can be done precisely and accurately by using remote sensing to identify and map the pest infestation. Remote sensing-based SSWM has great potential, but there are several problems and restrictions to overcome. Geographical forecast of these bacterial taxa’s relative abundance, which is based on remote sensing that, reveals configurations of ecosystem function and soil microbiome richness within the environment. Farmers can improve decision making, create site-specific management plans and increase overall crop resilience by integrating remote sensing data with field observations and previous information. As agriculture enters a new era, agriculture 4.0, with smart agriculture technologies, enables farmers to stay connected to their farms virtually anywhere at any time. This contributes significantly to the world's agricultural sector by serving farmers with increased yield, lower costs and efficient management of their land. Undertaking research activities for the modernization of agriculture and assessing the socioeconomic effects of digitization is essential to building new digital solutions that will maintain sustainability for long-term agriculture.</p>

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Remote sensing application in plant protection and its usage in smart agriculture to hasten decision making of the farmers

  • 期刊论文

  • 发表日期：

    2025年3月26日

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  • R. Sathya Priya,
  • N. Jagathjothi,
  • M. Yuvaraj,
  • N. Suganthi,
  • R. Sharmila,
  • M. Saranya,
  • L. Karthiba,
  • P. Murali Arthanari,
  • C. Bharathi,
  • G. Senthil Kumar,
  • Jaiby Cyriac,
  • S. Anandha Krishnaveni

摘要

Remote sensing has become a vital component of plant protection system, offering significant details about disease dynamics, insect infestations and crop health. The current review highlighted a standpoint on the innovative and past application of remote sensing and their application exclusively in insect pests, crop diseases, plant parasitic nematodes (PPNs), site-specific weed management (SSWM), soil microbes and environmental hazards. Consequently, it can identify pest and disease invasions as early and notify farmers to implement the appropriate countermeasures to ensure crop health and safeguard the crop yield from significant losses. PPNs can now be diagnosed in the field because of recent advancements in this technology. Pesticides application can be done precisely and accurately by using remote sensing to identify and map the pest infestation. Remote sensing-based SSWM has great potential, but there are several problems and restrictions to overcome. Geographical forecast of these bacterial taxa’s relative abundance, which is based on remote sensing that, reveals configurations of ecosystem function and soil microbiome richness within the environment. Farmers can improve decision making, create site-specific management plans and increase overall crop resilience by integrating remote sensing data with field observations and previous information. As agriculture enters a new era, agriculture 4.0, with smart agriculture technologies, enables farmers to stay connected to their farms virtually anywhere at any time. This contributes significantly to the world's agricultural sector by serving farmers with increased yield, lower costs and efficient management of their land. Undertaking research activities for the modernization of agriculture and assessing the socioeconomic effects of digitization is essential to building new digital solutions that will maintain sustainability for long-term agriculture.