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Deep Learning Applications In Agriculture. Deep Learning DL is the state-of-the-art machine learning technology which shows superior performance in computer vision bioinformatics natural language processing and other areas. Precision Farming and Predictive Analytics. Some studies used a convolutional neural network CNN in agricultural applications such as weed and crop classification Mortensen et al 2016 Potena et al 2016 Di Cicco et al 2017. However with the increase of dense.
Precision Farming and Predictive Analytics. This article performs a survey of dierent deep learning techniques applied to. As deep learning has been successfully applied in various domains it has recently entered also the domain of agriculture. There are various applications of these deep learning algorithms in agriculture such as leaf classification plant disease identification yield approximation weed detection weather prediction and soil moisture prediction. The Canadian startup Beriqo develops an information management system IMS for agriculture. In this review it has been observed that the application of deep learning techniques has provided a better accuracy for smart farming.
The paper analyses the specific employed models the source of the.
Deep learning is a recent tool in the agricultural domain being already successfully applied to other domains. Apart from automated machines the AI in agriculture can help by predicting the crop yield using deep learning technology. Additional applications of deep-learning in agriculture OTHER APPLICATIONS Crop identification Disease detection Practice classifications Remote sensing Image segmentation clustering Nutrient deficiency detection Cloud detection Environment classification 31. These applications are going to be discussed in this chapter by comparing and analyzing the deep learning procedures with the present techniques that are being. Deep learning is a recent tool in the agricultural domain being already successfully applied to other domains. Especially as a modern image processing technology DL has been successfully applied in various tasks such as object detection semantic segmentation and scene analysis.