
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 is dedicated to providing high-quality image data support for sweet potato size estimation and object detection.
MOBIUSI INCThis dataset focuses on the integrity analysis of cabbage leaves, aiding in health monitoring and pest detection in the agricultural sector.
MOBIUSI INCThe Grape Destemming Recognition Dataset aims to advance agricultural automation and improve destemming efficiency.
MOBIUSI INCThe land degradation monitoring dataset records images of varying levels of land cracking and degradation to assist AI in monitoring land quality.
MOBIUSI INCThis dataset focuses on the recognition of legume crops in greenhouses, providing high-quality data support for smart agriculture.
MOBIUSI INCThis dataset is used to evaluate pest severity through the annotation of the number and area of leaf perforations.
MOBIUSI INCThis dataset aims to enhance the object detection capability of lettuce crops and promote the development of agricultural monitoring technology.
MOBIUSI INCThe Field Grass Navigation Dataset is designed for agricultural object detection tasks, providing high-quality annotated image data.
MOBIUSI INCThis dataset focuses on recognizing the picking actions of farmers, providing data support for agricultural intelligence.
MOBIUSI INCThis dataset provides high-quality image data for orchard yield forecasting, supporting the development of agricultural intelligence.
MOBIUSI INCThis dataset is used for asparagus quality grading to support agricultural automation detection.
MOBIUSI INCThis dataset is used for the recognition of asparagus packaging labels, supporting supply chain traceability and anti-counterfeiting applications.
MOBIUSI INCThe Tomato Peduncle Keypoint Dataset is a high-quality target detection dataset designed for intelligent agricultural monitoring.
MOBIUSI INCThis dataset provides high-quality image data for studying the effectiveness of agricultural machinery in weed control, supporting tasks such as object detection and image recognition.
MOBIUSI INCThis dataset is used for the automatic recognition of plant pests, containing images of various pests and damages.
MOBIUSI INCThis dataset focuses on the identification of soil and organic matter content, aiding the development of precision agriculture.
MOBIUSI INCThis is a multi-crop field crop recognition dataset designed specifically for the agricultural sector to improve the accuracy and efficiency of crop monitoring.
MOBIUSI INCThis dataset aims to improve the efficiency and accuracy of carrot appearance inspection.
MOBIUSI INCThis dataset combines drought farmland imagery with environmental data for AI-based predictions of irrigation timing and water demand.
MOBIUSI INCThe Onion Classification and Segmentation Dataset is an image dataset focused on the agricultural field, aiming to enhance the intelligence level of crop classification and pest and disease detection.
MOBIUSI INCLightning-Fast Response, 1:1 Technical Validation