2022
DOI: 10.3390/s22155866
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Smart Strawberry Farming Using Edge Computing and IoT

Abstract: Strawberries are sensitive fruits that are afflicted by various pests and diseases. Therefore, there is an intense use of agrochemicals and pesticides during production. Due to their sensitivity, temperatures or humidity at extreme levels can cause various damages to the plantation and to the quality of the fruit. To mitigate the problem, this study developed an edge technology capable of handling the collection, analysis, prediction, and detection of heterogeneous data in strawberry farming. The proposed IoT … Show more

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Cited by 38 publications
(31 citation statements)
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“…Random Forest (RF): Another supervised classifier is random forest, which classifies large data accurately [139]. It uses an ensemble apprenticeship approach for training and sums up the prediction results of individual trees.…”
Section: Supervised Classification Methodsmentioning
confidence: 99%
“…Random Forest (RF): Another supervised classifier is random forest, which classifies large data accurately [139]. It uses an ensemble apprenticeship approach for training and sums up the prediction results of individual trees.…”
Section: Supervised Classification Methodsmentioning
confidence: 99%
“…The YOLO family of target detection algorithms has been applied to many fruit studies, such as green apple [10], citrus [11], strawberry [12], tomato [13], and pear [14]. [15] used an improved YOLOv5 to detect tomato ripeness by replacing the backbone network with MobileNetV3 and conducting channel pruning to achieve model lightweight.…”
Section: Introductionmentioning
confidence: 99%
“…Alternatively, in an effort to provide precise and dependable ways for disease diagnosis, researchers have started looking into novel techniques based on arti cial intelligence and mobile devices. Furthermore, strategies utilizing machine learning and arti cial intelligence have started to be deployed because the majority of illnesses signi cantly alter the visual appearance of leaves, fruits, and plant stems [5,6,[42][43][44][45][46][47][48].…”
Section: Introductionmentioning
confidence: 99%