Talent Artificial Intelligent Building Electricity Avoiding Waste Technology

For the university of Waikoto, NZ example, researchers are applying machine learning to near infra-red images of soil, meaning the soil does not have to be sent to the lab. This will enable farmers to apply fertilisers much more efficiently. Moreover, robots will be developed to roam between strains of needs. These bots are high enough that do not damage the soil, and because they release herbicides only onto the weeds. They are also doing more environmental protection behaviours. Many uses of (AI) in agriculture are focused on reducing the biological and ecological damage caused by inefficient use of pesticides.For meet waste loss reducing aspect, (AI) technology can be applied to animal health monitoring . It can also be used to improve efficiencies in livestock management by optimising feeding and dispensing of medication. The (AI) technology can constantly monitor livestock, e.g. pigs, cows sheep animals movements, eating patterns and health and immediately flag animals that are showing unusual behaviour or reduced welling. They can then be treated quickly before they spread infection. So, farmers benefit is from cost reduction through more targeted use of antibiotics when also improving the treatment of livestock.In the simplest terms, images are constantly captured and pre-processed through detection for frequency and density to livestock eating animals' eating behaviours and living and health conditions in order to provide health pork, beef, sheep meet to consumers to eat.However, (AI) can be applied to crop seed or fruit improved growing or better irrigation aspect, for New Zealand kiwifruit agricultural irrigation case, yield well ahead of scheduled harvests. New Zealand kiwifruit growers have had to manually count fruit over certain areas and then to achieve the more accurate kiwifruit supplying number of consumers' demanding number scheduled harvests to satisfy New Zealand itself country's kiwifruit consumers' needs, even overseas kiwifruit consumers' needs. The agricultural sector would not know until the kiwifruit product hit supermarket shelves whether its spot sampling had been correct. Any miscalculation could cause kiwifruit waste loss. For example, if NZ kiwifruit farmers predict China kiwifruit consumer number will be on million kiwifruit consumer number in this year. However, they miscalculate the wrong kiwifruit supplying number either their needs are lesser. Then, it will occur shortage kiwifruit number to export to Chinese kiwifruit consumers in this year or their supplying export number are more, then it will occur excess kiwifruit number to Chinese kiwifruit consumers. So, (AI) technology can help NZ kiwifruit farmers to predict every country's kiwifruit needs in order to supply the enough kiwifruit number to every countries' supermarkets or fruit stores to sell. SO, it won't cause NZ kiwifruit excessive or shortage challenges occur more easily.