INTELLIGENT AGRICULTURAL PEST MANAGER DRONE IN PAKISTAN

Shahzad Nasim, Munaf Rashid, Sidra Abid Syed, Imtiaz Brohi
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引用次数: 0

Abstract

This paper’s primary goal is to develop an agriculture drone for spraying pesticides. We discuss an architecture based on unmanned aerial vehicles (UAVs) in this study. Pesticides must be used in agriculture if the quality of large-scale output is to be maintained. It is crucial to increase agriculture's production and efficiency by employing cutting-edge technology to replace employees with intelligent equipment like robots. The research suggests a novel method to replace people in a number of agricultural tasks, including the identification of insect presence, the application of pesticides and fertilizers, etc. The created method entails building a prototype that makes use of basic, affordable equipment including a microprocessor, different motors, and terminal equipment to assist farmers in a variety of operations related to crop fields. Design and build an autonomous drone-based surveillance system capable of identifying injured crops and spraying pesticides in specified regions as needed. To combine an image processing and Artificial Intelligence based real time algorithm to determine crop health and evaluate the need for pesticides, as well as a weather monitoring system that can assist anticipate weather conditions
巴基斯坦的智能农业害虫管理无人机
本文的主要目标是开发一种用于喷洒农药的农业无人机。在本研究中,我们讨论了一种基于无人机的架构。要保持大规模产量的质量,农业必须使用农药。利用尖端技术,用机器人等智能设备取代人工,提高农业产量和效率至关重要。这项研究提出了一种新的方法来代替人类完成许多农业任务,包括昆虫的识别、农药和化肥的施用等。所创造的方法需要建立一个原型,使用基本的,负担得起的设备,包括微处理器,不同的电机和终端设备,以帮助农民进行与农田有关的各种操作。设计并建造一个基于无人机的自主监控系统,该系统能够识别受损作物并根据需要在指定区域喷洒农药。结合图像处理和基于人工智能的实时算法来确定作物健康状况并评估农药需求,以及可以帮助预测天气状况的天气监测系统
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