AI agriculture enables disease detection, quality grading, and environmental forecasting to boost productivity and resilience.
Use image recognition to detect crop diseases and pests, and provide treatment recommendations to reduce yield loss.
Analyze images and sensor data to assess ripeness and defects, enabling automated grading and improving market competitiveness.
Combine satellite, weather, and sensor data with AI models to predict crop growth, drought, and flood conditions.
This dataset focuses on tomato instance segmentation, aiming to improve the accuracy and efficiency of agricultural monitoring.
This dataset provides high-quality images of tomato diseases and pests, supporting object detection tasks to aid agricultural automation management.
This dataset is used for detecting the maturity of tomatoes, supporting agricultural intelligent management.
This dataset focuses on tomato target detection, improving agricultural production efficiency and crop quality.
This dataset is used for target detection of free-range chickens to support agricultural automation monitoring.
This dataset provides high-quality image data for monitoring the growth of fennel crops, supporting agricultural object detection research.
The Greenhouse Crop Detection Dataset aims to improve the accuracy and efficiency of crop monitoring.
The Floral Landscape Recognition Dataset is designed to enhance agricultural intelligence and support the development of flower recognition technology.
Floral health status monitoring dataset, aiding intelligent agricultural management.
This dataset provides a large number of flower images to support plant identification and agricultural applications.
The Bean Leaf Detection Dataset provides high-quality annotated data for agricultural pest and disease detection.
This dataset focuses on the recognition of legume crops in greenhouses, providing high-quality data support for smart agriculture.
The Pumpkin Field Distribution Analysis Dataset provides high-quality images, supporting agricultural crop monitoring and target detection.
A dataset for joint detection of pumpkin leaves and fruits, assisting in intelligent agricultural monitoring and pest identification.
This dataset provides a large number of pumpkin images to aid research and applications in maturity classification.
The Pumpkin Counting Dataset provides an efficient object detection solution for agricultural monitoring.
Pumpkin object detection dataset providing high-quality pumpkin image data for training object detection algorithms.
This dataset focuses on image classification and recognition of pumpkins, aiding the development of smart agriculture.
This dataset provides high-quality cabbage phenotype features for agricultural target detection and health assessments.
This dataset focuses on the integrity analysis of cabbage leaves, aiding in health monitoring and pest detection in the agricultural sector.
Lightning-Fast Response, 1:1 Technical Validation