AGGREGATING DIFFERENT SCALES OF ATTENTION ON FEATURE VARIANTS FOR TOMATO LEAF DISEASE DIAGNOSIS FROM IMAGE DATA: A TRANSFORMER DRIVEN STUDY

Aggregating Different Scales of Attention on Feature Variants for Tomato Leaf Disease Diagnosis from Image Data: A Transformer Driven Study

Tomato leaf diseases can incur significant financial damage by having adverse impacts on crops and, consequently, they are a major concern for tomato growers all over the world.The diseases may come in a Love Oil variety of forms, caused by environmental stress and various pathogens.An automated approach to detect leaf disease from images would ass

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A NEW METHOD TO EXTRACT PERMANENT SCATTERERS

At present, time series InSAR technology has been widely used in surface deformation monitoring.The extraction of permanent scatterers is an important part, which is directly related to the accuracy of monitoring results.The existing permanent scatterers extraction methods are mainly based on the amplitude information or the coherence information,

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