PDF(Pubmed)
Abstract：
The importance of identifying plant diseases has risen recently due to the adverse effect they have on agricultutal production. Plant diseases have been a big concern in agriculture, as they affect crop production, and constitute a major threat to global food security. In the domain of modern agriculture, effective plant disease management is vital to ensure healthy crop yields and sustainable practices. Traditional means of identifying plant disease are faced with lots of challenges and the need for better and efficient detection methods cannot be overemphazised. The emergence of advanced technologies, particularly deep learning and content-based filtering techniques, if integrated together can changed the way plant diseases are identified and treated. Such as speedy and correct identification of plant diseases and efficient treatment recommendations which are keys for sustainable food production. In this work, We try to investigate the current state of research, identified gaps and limitations in knowledge, and suggests future directions for researchers, experts and farmers that could help to provide better ways of mitigating plant disease problems.
摘要：
最近，由于植物病害对农业生产的不利影响，识别植物病害的重要性已经上升。植物病害一直是农业中的一个大问题，因为它们影响作物生产，对全球粮食安全构成重大威胁。在现代农业领域,有效的植物病害管理对于确保健康的作物产量和可持续的做法至关重要。识别植物病害的传统方法面临许多挑战，对更好和有效的检测方法的需求不能过分强调。先进技术的出现，特别是深度学习和基于内容的过滤技术，如果整合在一起可以改变植物疾病的识别和治疗方式。例如快速正确地识别植物病害和有效的治疗建议，这是可持续粮食生产的关键。在这项工作中,我们试图调查研究的现状，发现知识的差距和局限性，并为研究人员提出了未来的方向，专家和农民可以帮助提供更好的方法来减轻植物病害问题。
