ABSTRACT

In today's world, Agriculture moves toward technological advancements termed as Modern Agriculture. The usage of multiple pest control and crop management frameworks plays a significant role in crop monitoring. The existing framework faces challenges. It uses a single core Graphical Processing Unit (GPU) to handle the various sensors attached for pest control and crop monitoring system. Therefore, Distributed and parallel simulation Framework (DPSF) with the Internet of Things (IoT) Assistance is proposed for pest control and crop monitoring system. It reduces the stress on a single GPU and shares the process equally and simultaneously to the available GPUs and views data on the dashboard without crashing. The Technique will reduce the execution time. DPSF uses multi-threading concept, in which each core in GPU shares tasks to other cores. This process is done in four layers; each layer is shared to handle the specific task– Crop management, Pest detection and control, Output functions and input functions. The data is processed simultaneously and managed in an optimised and controlled fashion. Simulation analysis shows that the DPSF with IoT Assistance can classify and control pest effectively with IoT assistance.

摘要

在当今世界，农业朝着被称为现代农业的技术进步迈进。多种害虫控制和作物管理框架的使用在作物监测中发挥着重要作用。现有框架面临挑战。它使用单核图形处理单元 (GPU) 来处理连接到害虫控制和作物监测系统的各种传感器。因此，提出了具有物联网（IoT）辅助的分布式并行模拟框架（DPSF）用于害虫控制和作物监测系统。它减少了单个 GPU 的压力，并与可用的 GPU 平等且同时地共享进程，并在仪表板上查看数据而不会崩溃。该技术将减少执行时间。DPSF 使用多线程概念，其中 GPU 中的每个内核都将任务共享给其他内核。这个过程分四层完成；每一层都被共享来处理特定的任务——作物管理、害虫检测和控制、输出功能和输入功能。数据以优化和受控的方式同时处理和管理。仿真分析表明，具有物联网辅助功能的DPSF可以在物联网辅助下有效地对害虫进行分类和控制。