Crops are directly related to human food supply and demand. Understanding the crop yield and establishing appropriate strategies and countermeasures is a very important task to protect the health and daily life of the people as well as the crop management aspect of agriculture.
The most widely practiced task to manage pests and diseases in outdoor and greenhouse conditions is to spray pesticides on crops. The frequency and the amount of pesticide not only affect the healthy growth of the crops but also the financial and environmental costs. For this reason, the appropriate frequency and amount should be predicted and applied.
In the past, we have observed the behavior of livestock and predicted the condition of livestock. If you try to solve the problem after observing the abnormal symptoms, the condition of the livestock may have already deteriorated and the spread of disease infection may have already begun.
The number of people spending time with their pets at home. In addition, the number of households raising pets is steadily increasing due to the increase in single-person households, especially in recent years. Among them, the most popular companion animals are dogs and cats, and it is essential to understand and monitor dogs and cats through an accurate classification system.
It is natural to distinguish an animal from its species with the naked eye of a human being, but if a computer recognizes an animal by viewing an image or video data and derives a result, it can be used in a variety of industries beyond the field of computer vision. For example, the results of animal detection can be used in research fields related to animal classification, preventing animal-vehicle collisions, which can cause injury and property damage to animals and humans.
Abnormal power consumption is closely related to system malfunction. Detecting a malfunctioning system is very important, as any malfunction or misconfiguration within the system can lead to negative effects such as fire.
Estimating energy use is a necessary process in order to efficiently manage and distribute energy. By analyzing the relevant data from the past, factors affecting energy consumption such as date and time can be found, which can help in efficient management.
Power plant facilities come in a wide variety of different types and are processes that generate power from a combination of many different machines. Predictive maintenance is very important because even if one of these machines goes down, electricity production can be disrupted, resulting in significant losses.
Cost reduction is one of the most important factors for competitiveness. The penalties due to the usage time factor and excess capacity in the electricity supply bill can be a major disadvantage for large corporations such as businesses and organizations.
When legislators enact laws, there is a limit in the number of cases that may occur in this society. So the rest of them must be left to the legal interpretation of the judges, and this is a 'precedent'. That's why, although precedent is important for winning, it is never easy for an individual to analyze all of the previous case law.
With AutoML + Consulting, you can request a professional consultant of DS2.ai to develop artificial intelligence.