| Paper | Year | Database used | Images used | Accuracy |
| Atila et al. [32] | 2021 | PlantVillage | 61,486 | 0.984 | Reddy et al. [61] | 2021 | PlantVillage | 54,305 | 0.900 | Sembiring et al. [62] | 2021 | PlantVillage | 17,641 | 0.972 | Adit et al. [12] | 2020 | PlantVillage | 76,000 | 0.980 | Guo et al. [46] | 2020 | PlantVillage | 61,486 | 0.992 | Khan et al. [60] | 2020 | PlantVillage | 7,733 | 0.978 | Saleem et al. [27] | 2020 | PlantVillage | 61,486 | 0.730 | Ashqar and Abu-Naser [20] | 2019 | PlantVillage | 9,000 | 0.994 | Goncharov et al. [38] | 2019 | PlantVillage | 54,306 | 0.870 | Lin et al. [5] | 2019 | Powdery mildew data set | 20 | 0.961 | Nagasubramanian et al. [18] | 2019 | Hyperspectral image data set | 111 | 0.957 | Ozguven et al. [39] | 2019 | Sugar beet data set | 155 | 0.955 | Ramcharan et al. [7] | 2019 | Cassava disease data set | 720 | 0.790 | Shrivastava et al. [31] | 2019 | Oryza sativa database | 619 | 0.914 | Stewart et al. [25] | 2019 | Aerial image data set | 3,000 | 0.780 | Tian et al. [45] | 2019 | Apple disease image data set | 640 | 0.994 | Turkoglo et al. [15] | 2019 | Turkey plant data set | 1,965 | 0.956 | Verma et al. [24] | 2019 | IPPN phenotyping data set | 345 | 0.904 | Barbedo [6] | 2018 | PlantVillage augmented | 50,000 | 0.960 | Barbedo [19] | 2018 | PlantVillage augmented | 50,000 | 0.980 | Cap et al. [37] | 2018 | Saitama research center data set | 60,000 | 0.780 | Dhakal and Shakya [8] | 2018 | PlantVillage | 54,000 | 0.985 | Ferentinos [3] | 2018 | Open plant database | 87,848 | 0.995 | Rangarajan et al. [23] | 2018 | PlantVillage | 13,262 | 0.950 | Ubbens et al. [14] | 2018 | PlantVillage | 18,160 | 0.962 | Wallelign et al. [9] | 2018 | Soybean image data set | 12,673 | 0.993 | Wiesner-Hanks et al. [10] | 2018 | Cornell University data set | 18,222 | 0.850 | Amara et al. [35] | 2017 | PlantVillage | 3700 | 0.997 | Brahimi et al. [36] | 2017 | PlantVillage | 14,828 | 0.992 | Cruz et al. [30] | 2017 | PlantVillage | 299 | 0.986 | Durmus et al. [21] | 2017 | Korean tomato disease data set | 5,000 | 0.972 | Fuentes et al. [16] | 2017 | Tomato disease image data set | 5,000 | 0.870 | Ramcharan et al. [13] | 2017 | Cassava disease image data set | 11,670 | 0.930 | Wang et al. [1] | 2017 | PlantVillage | 2,265 | 0.904 | Ale et al. [43] | 2016 | Real-world plant disease data set | 21,917 | 0.980 | Sladojevic et al. [22] | 2016 | Images collected from Internet | 33,469 | 0.982 |
|
|