Pests detection system for agricultural crops using intelligent image analysis

A Systematic Literature Review on Insect Detection in Images

“…Some articles combine more than one approach, such as Cabrera et al [51] who use an existing data set called Yellow Sticky Trap data set along with a web data set. Also, Mazare et al [52] use existing data photo libraries taken by the beneficiary institute and collected from traps. Xia et al [53] utilize data already collected by Xie et al [54] and data downloaded from the Internet.…”

“…Only two of the studied articles do not mention the name of the used models. Hossain et al [15] mention CNN in general, and Mazare et al [52] mention artificial neural networks.…”

“…There was an insect species called the moth that was present in numerous studies, and it has been a serious problem for farmers around the world. This insect has been detected in several publications [19], [23], [28], [30], [41], [50], [52]. whereas Patel et al [28] detect three insects where two of them are moths, and Korsch et al [41] detect this type of insect in 200 species.…”

“…-Some articles only detect one insect or one class: [9], [19], [23], [30], [41], [42], [44], [50], [52], [82], [90], -Others detect two classes: [8], [14], [26], [46], -Other papers detect 3 classes: [7], [20], [27], [28], [32], [48], [51], -Other articles detect 4 classes: [17], and [89], -Some of the studied papers detect 5 classes: [35], [10], and [39], -There are some papers that detect 6 classes: [15], [16], [18], [25], [34], -Other papers detect from 7 to 9 classes: [24] (7 classes), [31], [37], and [85] Since there are fewer studies as the number of insects increases, 66% of all articles focus on insects with a population of one to six.…”