GMP-Leaf12

kaggle2026-04-30 更新2026-07-24 收录

作物叶片图像识别

农业病虫害自动化诊断

数据链接：

https://www.kaggle.com/datasets/trung272004/data-leaf-disease-detection-15k 数据链接链接失效反馈

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资源简介：

Field-Collected Images of Guava, Mango, and Pomelo Leaves in 12 Classes

12类番石榴（Guava）、芒果（Mango）及柚子（Pomelo）叶野外采集图像数据集

创建时间：

2026-04-30

Betel Leaf Dataset: A Primary Dataset From Field And Controlled Environment

农业病虫害自动化诊断

槟榔叶生长监测

Betel leaves hold high value due to its culinary, medical, and religious values. Future potential for better quality control, yield, and sustainable cultivation may derive from understanding the growt

Mendeley Data60

Proposed model training parameters.

农业病虫害自动化诊断

轻量级图像分类

Tomato cultivation is expanding rapidly, but the tomato sector faces significant challenges from various sources, including environmental (abiotic stress) and biological (biotic stress or disease) thr

Figshare2024-12-05 更新40

16S rRNA of Honey Bee Larvae

蜜蜂疾病微生物组

农业病虫害自动化诊断

A high-throughput sequencing survey characterizing European foulbrood disease and Varroosis in honey bees

NIAID Data Ecosystem20

白菜病害识别AI训练数据

农业图像识别

农业病虫害自动化诊断

本数据的应用场景是白菜病害识别。通过采集多类白菜病害的高清图像数据，并利用深度学习框架对白菜表面的病害特征进行多维度的学习和分析，训练后的模型能够快速识别白菜的病害类型及其严重程度，生成科学的诊断结果。本模型不仅显著提升了白菜病害识别的准确率，还通过精准定位病害区域，显著减少农药的使用，降低环境污染风险，提升防治效率。一、加工前的数据说明数据来源于企业采购相机等硬件设备拍摄的多类白菜病害高清图像

浙江省数据知识产权登记平台2026-07-22 更新40

AI in Plant Pathology: A Chrysanthemum Leaf Disease Dataset Approach

农业病虫害自动化诊断

菊花叶部病害图像识别

1. The Significance of Chrysanthemums leaf in Horticulture and Disease Challenges In the horticulture sector, Chrysanthemums are highly valued for their aesthetic appeal as well as their economic wort

Mendeley Data30

GMP-Leaf12

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