to help grow food in their homes. In addition, Agrio suggests biological and organic treatments as part of the integrated pest management protocols, making it even more relevant for gardeners and home growers.When scouting the field, instant identification saves the need to waste time on identifying the problems and recording the results. Moreover, the recorded images can be inspected by others and used as a reference in the future.
When the problems are already observed in the plot, exact identification can help prevent spread. The strategy on which measures should be applied depends on the precise identification of the cause. State-of-the-art image recognition is based on the concept of artificial neural networks. Similar to how agronomy students learn, the neural network is presented with examples of diseased plants that were tagged by experts. In the learning process, the network of neurons adapts until it maximizes the performance score. The result is an app that identifies plant diseases and constantly improves as more examples are presented.
seems counterintuitive? lol
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