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<p>Smart farming uses cutting-edge technology to increase agricultural output. New automation, AI, and networking technologies allow farmers to monitor every aspect of their operation. They also attentively follow machine-provided remedies. Modern agricultural equipment is essential for long-term sustainability and crop production. Smart farming uses deep learning (DL) and the Finite Difference Method (FDM) in this research. It promotes soil health, fertilizer management, and groundwater flow. This work investigates DL for real-time soil health monitoring to achieve quick and accurate responses. To determine crop growth and production, it models groundwater flow using the FDM. It examines how soil health and fertility affect crop development, revealing the optimum agricultural practices. Deep neural networks and FDM build a smart fertilizer system depending on crop needs and soil conditions. Matplotlib, a Python 2D charting package, simplifies chart creation. This effort uses innovative technologies to increase agricultural output and lifespan.</p>

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Smart agriculture using deep learning and FDM for the relation of soil health, fertilizer and ground water

  • 期刊论文

  • 发表日期：

    2025年11月20日

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  • Brajesh Kumar Mishra,
  • Bhagat Singh,
  • Ruchi Panwar

摘要

Smart farming uses cutting-edge technology to increase agricultural output. New automation, AI, and networking technologies allow farmers to monitor every aspect of their operation. They also attentively follow machine-provided remedies. Modern agricultural equipment is essential for long-term sustainability and crop production. Smart farming uses deep learning (DL) and the Finite Difference Method (FDM) in this research. It promotes soil health, fertilizer management, and groundwater flow. This work investigates DL for real-time soil health monitoring to achieve quick and accurate responses. To determine crop growth and production, it models groundwater flow using the FDM. It examines how soil health and fertility affect crop development, revealing the optimum agricultural practices. Deep neural networks and FDM build a smart fertilizer system depending on crop needs and soil conditions. Matplotlib, a Python 2D charting package, simplifies chart creation. This effort uses innovative technologies to increase agricultural output and lifespan.