针对竹蝗、美国白蛾等逾百种林业害虫的智能识别算法

基于AutoML平台视觉大模型开发，成功实现了对逾百种林业害虫的精准识别，显著提升了病虫害监测效率与准确性，助力早期预警与干预，保障森林生态健康，推动林业可持续管理。

Developed based on the visual large model of the AutoML platform, this dataset has successfully achieved accurate identification of over 100 forestry pests, significantly improved the efficiency and accuracy of pest and disease monitoring, facilitated early warning and intervention, ensured the health of forest ecosystems, and promoted sustainable forest management.

搜集汇总

背景与挑战

背景概述

该数据集是一个林业害虫智能识别算法服务，基于AutoML视觉大模型开发，能识别逾百种害虫，提升监测效率和准确性，支持森林生态健康管理。