LT-YOLOv10n: A lightweight IoT-integrated deep learning model for real-time tomato leaf disease detection and management
Summary
LT-YOLOv10n: A lightweight IoT-integrated deep learning model for real-time tomato leaf disease detection and management is a scholarly article[1].
Key Facts
LT-YOLOv10n: A lightweight IoT-integrated deep learning model for real-time tomato leaf disease detection and management's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). LT-YOLOv10n: A lightweight IoT-integrated deep learning model for real-time tomato leaf disease detection and management. Retrieved May 24, 2026, from https://4ort.xyz/entity/lt-yolov10n-a-lightweight-iot-integrated-deep-learning-model-for-real-time-tomato-leaf-disease-detection-and-management
MLA“LT-YOLOv10n: A lightweight IoT-integrated deep learning model for real-time tomato leaf disease detection and management.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lt-yolov10n-a-lightweight-iot-integrated-deep-learning-model-for-real-time-tomato-leaf-disease-detection-and-management.
BibTeX@misc{4ortxyz_lt-yolov10n-a-lightweight-iot-integrated-deep-learning-model-for-real-time-tomato-leaf-disease-detection-and-management_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LT-YOLOv10n: A lightweight IoT-integrated deep learning model for real-time tomato leaf disease detection and management}}, year = {2026}, url = {https://4ort.xyz/entity/lt-yolov10n-a-lightweight-iot-integrated-deep-learning-model-for-real-time-tomato-leaf-disease-detection-and-management}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LT-YOLOv10n: A lightweight IoT-integrated deep learning model for real-time tomato leaf disease detection and management — https://4ort.xyz/entity/lt-yolov10n-a-lightweight-iot-integrated-deep-learning-model-for-real-time-tomato-leaf-disease-detection-and-management (retrieved 2026-05-24)