The Application Status and Prospects of Deep Learning Methods in Strawberry Disease and Pest Control
Strawberries have delicious flesh and high nutritional value,earning the the reputation of the'Queen of Fruits'.However,the growth characteristics of strawberries make them susceptible to various pests and diseases.Therefore,identifying and controlling pests and diseases are crucial for ensuring the quality and yield of strawberries.Disease and pest identification is a prerequisite for pest control,and deep learning methods are increasingly being combined with image recognition technology for crop disease and pest identification due to their ability to automatically learn and extract features.Based on the above all,the process of strawberry disease recognition based on deep learning was introduced,and the research progress of deep learning methods in strawberry disease and pest recognition in recent years was summarized.It pointed out that deep learning methods had the advantages of high efficiency,good robustness and strong generalization ability in strawberry disease and pest control.However,there were also limitations,such as high computational resource requirements,subjective data annotation,limited practical application scenarios and so on.In the future,it will further improve application effectiveness,reduce prevention and control costs,and assist in green prevention and control by creating a dataset sharing platform,adopting mode compression technology and combining deep learning with technologies such as the Internet of things and robotics more closely.
deep learningstrawberrypest and diseaseimage recognitionstatusprospect
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