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Datenanalysetechniken für die Agrarindustrie
Computer vision models have been helping improve farming in many ways, from monitoring the production of crops to aquaculture and livestock. Making these applications requires working in an unstructured, uncertain, extremely dynamic and dynamic environment in which the terrain and objects change and vary constantly. Making agricultural data is also a process that requires expertise both in analysis and during implementation.
Field Surveillance
In large fields of farming, monitoring of the plots and crops is a time-consuming job. Farmers may suffer a variety of losses because of poor monitoring of their fields. Produce may be damaged due in part to fires, external bodies and vehicle intrusion, animal intrusion as well as other factors.
High-definition images taken by airborne drones or sensor platforms can create field maps covering vast expanses of space. KI systems automatically detect areas that require immediate attention. Farmers can lower costs for the allocation of resources and reap the benefits of higher yields of crops.
Ripeness Monitoring
The time to maturity of the fruit is evident by the color of the skin and size. Different the process of ripening a crop differs from one another and is quite unique so ripeness detection training data needs to be created specifically to fit the model.
Labelify is a specialist on AI products for the agricultural sector using video and image annotation. It has experience in visually-based data annotation.
Crop & Weed Detection
Perception models can help ease the process of identifying crops. We distinguish between weeds and crops and label them with bounding boxes to process high-quality training data. Labelify agriculture makes use of AI technology to assist in the detection of diseases in plants or pests as well as low nutrition for plants on farms.
AI sensors can identify and target weeds. They then determine which herbicides to use. Computer Vision can help detect the nature and severity of crop diseases faster and more effectively. Farmers then can take swift action to cure the illness.
Animal Monitoring
High-quality information is required to assist in monitoring livestock as well as wildlife conservation. automated crop harvesting. Managing an enormous number of animals in a farm or dairy farm is a challenge and takes a lot of time when everything is performed by hand. But, when an AI-powered automation system integrates with it, the livestock management system can be made easier and more efficient.
Labelify offers livestock management information needed to monitor livestock and control them using automated and artificial intelligence-powered machines.
