Global ETD Search

121	Lite-Agro: Integrating Federated Learning and TinyML on IoAT-Edge for Plant Disease Classification Dockendorf, Catherine April 05 1900 (has links) Lite-Agro studies applications of TinyML in pear (Pyrus communis) tree disease identification and explores hardware implementations with an ESP32 microcontroller. The study works with the DiaMOS Pear Dataset to learn through image analysis whether the leaf is healthy or not, and classifies it according to curl, healthy, spot or slug categories. The system is designed as a low cost and light-duty computing detection edge solution that compares models such as InceptionV3, XceptionV3, EfficientNetB0, and MobileNetV2. This work also researches integration with federated learning frameworks and provides an introduction to federated averaging algorithms. Computer Science Engineering, System Science Agriculture, Plant Pathology
122	Epidemiology and management of Phomopsis cane and leaf spot of grape Nita, Mizuho 12 September 2005 (has links) No description available. Agriculture, Plant Pathology Plant disease management Plant disease epidemiology Grape <i>Vitis</i> spp. <i>Vitis labrusca</i> <i>Vitis vinifera</i> <i>Phomopsis viticola</i> Plant disease warning system Post-inoculation fungicide activity Dormant fungicide application Spat