Soil pollution detection dataset, dedicated to improving the efficiency and accuracy of agricultural soil monitoring.

This dataset focuses on the monitoring and analysis of cattle grazing and grassland coverage, aiding the development of precision agriculture.

This dataset focuses on the classification of weed species, aiding the development of precision agriculture.

Green pepper fruit segmentation dataset providing high-quality images and segmentation annotations to aid in agricultural automation detection.

The Garden Flowers Michelia Recognition Image Dataset is designed to improve flower recognition technology in the agriculture and forestry industry.

This dataset is a high-quality land use cover remote sensing dataset focused on the agricultural field, supporting object detection tasks.

This dataset is used for recognizing and classifying pomegranate fruits in gardens to enhance the efficiency of intelligent agricultural management.

The Floral Landscape Recognition Dataset is designed to enhance agricultural intelligence and support the development of flower recognition technology.

This dataset is used to identify pest psyllids in durian plantations, assisting agricultural practitioners in accurate judgment and taking measures.

The Garden Flowers Canna Indica Identification Image Dataset is used to improve plant identification accuracy.

The Orchard Land Use Monitoring Dataset provides high-quality image data for agricultural object detection, aiding intelligent agriculture management.

This dataset provides image classification support for grape destemming task status in the agricultural field.

The Agricultural Product Harvest Basket Detection Dataset provides precise target detection support for agricultural automation.

The Garden Flowers Hibiscus Identification Image Dataset focuses on improving the automatic identification and classification of hibiscus flowers in gardens.

The Grass Seed Recognition Classification Dataset provides a wealth of grass seed images, supporting the development of smart agriculture.

This dataset aims to provide high-quality farmer work scene recognition data to support the development of intelligent agriculture.

This dataset provides high-quality images of farm transportation tools to improve the accuracy of agricultural machinery recognition.

A high-quality image dataset for identifying New Guinea Impatiens.

This dataset is used for classification of tea leaf drying processes, aiding the intelligent and standardized agricultural production.