Agriculture & Food

This dataset combines drought farmland imagery with environmental data for AI-based predictions of irrigation timing and water demand.

This dataset records the ecological damage patterns of pests on crop leaves, aiming to support agricultural ecological research.

The Ornamental Flower Pear Recognition Image Dataset helps improve the accuracy and efficiency of pear blossom recognition.

The Garden Anthracnose Disease Identification Image Dataset is designed specifically for identifying and monitoring anthracnose disease in garden crops.

The Raspberry Fruit Detection Dataset is designed for intelligent monitoring in agriculture.

This dataset provides high-quality images for monitoring and analyzing the stages of grass growth.

This dataset is used for carrot quality grading, supporting target detection tasks.

The Cabbage Field Growth Monitoring Dataset is designed to support agricultural object detection tasks, providing rich image data to enhance crop monitoring efficiency.

High-precision image dataset for recognizing garden flower calla lilies.

The Ornamental Flowers Plum Recognition Image Dataset provides high-quality image resources for the identification and classification of plum varieties.

This dataset focuses on the classification of remote sensing images of farmland types, aiding in agricultural monitoring and research.

This dataset aims to enhance weed removal efficiency through object detection technology, providing data support for smart agriculture.

The Evergreen Euphorbia Image Recognition Dataset focuses on improving the recognition accuracy of agricultural and forestry plants.

The Plant Growth Stage Classification Dataset is dedicated to promoting the development of intelligent agriculture.

This dataset focuses on the identification of soil and organic matter content, aiding the development of precision agriculture.

The ornamental flower sakura recognition image dataset provides precise sakura recognition assistance for the agriculture and forestry sectors.

The durian plantation pest spider mite image dataset is used to improve pest detection and control efficiency.

This dataset is used for disaster level classification of crops with different levels of flooding, supporting AI training and evaluation.

This dataset is used for identifying weed coverage in farmland, aiding the development of smart agriculture.

This dataset is used for farmland pest species recognition, containing a wealth of image samples and annotation information.