深度学习在作物及其近缘种抗病性智能鉴定上的研究进展

Research progress of deep learning in intelligent identification of disease resistance of crops and their related species

作物及其近缘种抗病性的精准鉴定是筛选和培育作物抗病性品种的关键环节,是安全有效防治作物病害的重要方式,也是野生种质资源异位保存和开发利用的重要基础。传统的抗病性鉴定方法工作量巨大,且严重依赖于调查人员的主观判断,快速、准确的作物及其近缘种抗病性智能化鉴定方式是未来的发展方向。近年来,随着深度学习方法的快速发展与大量应用,基于深度学习的作物及其近缘种抗病性智能鉴定成为可能。本文首先以水稻3大病害(稻瘟病、白叶枯病、纹枯病)为例,从阐述其抗病性鉴定的规范标准和传统抗病性鉴定方法出发,随后从病害检测、病害分割和病害危害程度评估3方面综述了深度学习在作物及其近缘种抗病性智能鉴定中的研究进展,凝练了深度学习在抗病性鉴定上的应用情况和面临的难点与挑战,并对未来进一步研究的方向与发展趋势进行展望,旨在为深度学习在作物及其近缘种抗病性鉴定中的进一步研究应用提供参考。

Accurate identification of disease resistance of crops and their related species is the critical link in screening and breeding disease resistant varieties of crops,an important way to safely and effectively control crop diseases,and an essential basis for the ex-situ conservation and exploitation of wild germplasm resources.The traditional disease resistance identification methods rely heavily on the subjective judgment of investigators,which is time-consuming and laborious.Rapid,accurate and intelligent identification of disease resistance of crops and their related species is in great need.In recent years,with the rapid development and application of deep learning methods,the intelligent identification of disease resistance of crops and their related species based on deep learning has become possible.In the present assay,we firstly introduced the traditional disease resistance identification methods and standards by taking three main diseases in rice(rice blast,rice leaf blight and rice sheath blight)as an example,then reviewed the progress of deep learning in intelligent identification of disease resistance in crops and their related species from three aspects of disease detection,disease segmentation,and diseases index assessment.Finally,we summarized difficulties and challenges in the application of deep learning in disease resistance identification,and discussed the feasibility and development trend to provide references for further research on deep learning in disease resistance identification of crops and their related species.