Machine Learning in Cereal Crops Disease Detection: A Review

Cereals are an important and major source of the human diet. They constitute more than two-thirds world’s food cover 56% cultivatable land. These sources affected by a variety damaging diseases, causing significant loss in annual production. In this regard, detection diseases at early stage quantification severity has acquired urgent attention researchers worldwide. One emerging popular approach for task is utilization machine learning techniques. work, we have identified most common affecting cereal crop production, also reviewed 45 works performed on classification various that occur six crops within past five years. addition, summarised numerous publicly available datasets each crop, which lack thereof as main challenges faced researching application detection. survey, deep convolutional neural networks trained hyperspectral data effective transfer commonly used yielding best result training method.