Recently developed technologies have rekindled interest in intelligent agriculture. Even though the current intelligent agriculture system creates and depends on vast volumes of data, handling those volumes using standard data processing methods is difficult. Researchers have paid close attention to big data technologies because of their ability to handle massive amounts of data. Big Data has significant data processing capabilities for a range of scenarios, making it a rising subject of research in the field of agriculture. This paper makes an effort to examine current trends in big data technology for precision agriculture. This study’s goal is to explore recent advancements in big data technology’s application to precision agriculture. The publications that were chosen were divided into groups based on their study subjects, objectives, methods, and contributions to the agribusiness. The results showed how big data, whose variety of applications is expanding, has a significant impact on precision agriculture.

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Agricultural Land Classification Based on Climatic Information Through Big Data

  • Kurakula Arun Kumar,
  • O. Sirisha,
  • Grandhi Jahnavi,
  • Dudekula Azmeer Vali,
  • Gaddale Dikshitha,
  • Derangula Likhitha Roy

摘要

Recently developed technologies have rekindled interest in intelligent agriculture. Even though the current intelligent agriculture system creates and depends on vast volumes of data, handling those volumes using standard data processing methods is difficult. Researchers have paid close attention to big data technologies because of their ability to handle massive amounts of data. Big Data has significant data processing capabilities for a range of scenarios, making it a rising subject of research in the field of agriculture. This paper makes an effort to examine current trends in big data technology for precision agriculture. This study’s goal is to explore recent advancements in big data technology’s application to precision agriculture. The publications that were chosen were divided into groups based on their study subjects, objectives, methods, and contributions to the agribusiness. The results showed how big data, whose variety of applications is expanding, has a significant impact on precision agriculture.