An Analysis of Plant Disease and Their Detection

One of the biggest revolutions of modern history is the invention of agriculture for a healthier lifestyle. It significantly changed the human culture and played an important role in the development of the population and biological improvements in food production and domestication. The frequency of pests on food crops increased because environmental circumstances were changing, and diseases on crops increased rapidly. These diseases inflict catastrophic social, economic, and ecological casualties, and this extraordinary challenge is a concern for the correct and prompt detection of diseases. In this contest, technology has left its mark on the potential of farmers and is still to be exploited. As input for making the right decision, farmers need timely and credible sources of knowledge. Study into Agriculture have to be planned by improving the disease diagnostics method with the use of newer technology to enhance efficiency and quantity for agricultural production and its allied operation. In various applications of the agricultural industry, computer methodologies have been used for automation. Timely farming decisions and disease management are taken using image analysis and machinery of learning techniques in planning and creating a method for the diagnosis of diseases.

现代农业史上最具影响力的变革之一，当属为塑造更健康生活方式而诞生的农业。它深刻重塑了人类文明，并对人口发展、粮食生产与驯化进程中的生物学改良起到了关键推动作用。随着环境持续变迁，粮食作物上的虫害频次显著上升，作物病害也呈快速蔓延之势。此类病害会造成灾难性的社会、经济与生态损失，而如何实现准确且及时的病害检测，正是应对这一严峻挑战的核心所在。在此项挑战中，技术已为农户赋能，其潜力仍有待进一步挖掘。农户若要做出科学合理的农事决策，亟需获取及时且可靠的知识支撑。农业研究应通过引入新兴技术优化病害诊断方法，以此提升农业生产及其关联作业的效率与产量。在农业产业的诸多应用场景中，计算机方法已被用于实现自动化作业。通过图像分析与机器学习技术构建病害诊断方案，可辅助农户及时做出农事决策并开展病害管理工作。