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Artificial Intelligence in Agriculture: Potential Applications and Future Aspects

  • Shallu Sehgal,
  • Mamta Devi Sharma,
  • Divya Tandon

摘要

Using AI in agriculture has long been seen as one of the best ways to alleviate the shortage of food and adjust to the demands of an expanding population. An overview of AI's use in agronomic fields and its advancements in lab research are given in this chapter. The chapter begins by outlining two areas in which artificial intelligence (AI) may be particularly useful: soil management and farm management. Next, the technology known as the Internet of Things (IoT), which has enormous potential for use in the future, is discussed. Uneven mechanisation distribution, algorithms’ speed and accuracy in processing massive amounts of data, and device and data security and privacy are the three issues that must be resolved for AI-based technology to gain traction in the market. Although the review notes the difficulties in transferring machines and algorithms tested in an experimental setting to real-world settings, it also emphasises the significant advancements and promising future applications of agricultural robots that have been developed and improved in recent years.