Article	Année	Single/ Multi task	Crop	Part	Diseases	Severity Grade/ Level	Dataset	Models used	Results
[18]	2017	single	apple	leaf	black rot	Healthy, Early, Middle and End	Plant Village	Lightweight CNN, VGG16, ResNet50 and Inception-V3	Best accuracy with VGG16: 90.4%
[10]	2019	Multi-task	apple, grape, cherry, peach, pepper, tomato, Strawberry, Potato, Corn curvularia, Puccinia polysora, Cercospora zeaemaydis…	Leaf	*	general and serious	Synthetic dataset from AI Challenger Global AI Contest (www.challenger.ai) and from others reseach works	PD2SE-Net50	Accuracies of 0.99, 0.98 and 0.91, respectively for species recognition, disease classification and disease severity estimation.
[12]	2020	single	Tomato	Leaf	Early Blight	healthy, mild, moderate, and severely diseased leaves	Plant Village (1000 images)	ResNet101, VGG16, VGG19, GoogLeNet, AlexNet, and ResNet50	accuracy: 94.6%
[22]	2020	single	Citrus (sweet orange)	Leaf	Huanglongbing (HLB) or Citrus Greening disease or citrus “cancer”	Early Stage, Moderate Stage, and Severely Infected Stage	Plant Village and crowdAI (5406 images)	AlexNet, DenseNet-169, Inception v3, ResNet-34, SqueezeNet-1.1, and VGG13	accuracy: 92.60%
[25]	2020	multi-task,	Coffee	Leaf	Leaf miner, rust, brown leaf spot and cercospora leaf spot	healthy (<0.1%), very low (0.1% - 5%), low (5.1% - 10%), high (10.1% - 15%) and very high (>15%).	Self-collected dataset of 1747 images	AlexNet, GoogleNet, VGG19 and ResNet50	Accuracies of 94.05% for biotic stress classication and 84.76% for severity estimation.
[14]	2020	Multi-task	corn, grap, peach, pepper, patato, strawberry, tomato	leaf	Puccinia Polysora, Curvularia Leaf Spot Fungus, Black Rot Fungus, Black Measles Fungus, Bacterial Spot, Late Blight Fungus, Early Bligh Fungus, scorch, Leaf Mold Fungus	normal, general and serious	IA Challenger (12.691 images)	BR-CNN based on DenseNet121, InceptionV3, NasNet or ResNet50	BR-CNN based on ResNet50 obtained the best accuracy (86.70%).