Detection of plant disease has a crucial role in better understanding the economy of India in terms of agricultural productivity. Early recognition and categorization of diseases in plants are very crucial as it can adversely affect the growth and development of species. Numerous machine learning ...
Genders, E., Viriri, S. (2022). Plant Diseases Detection and Classification Using Transfer Learning. In: Ngatched, T.M.N., Woungang, I. (eds) Pan-African Artificial Intelligence and Smart Systems. PAAISS 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and ...
The suggested architecture has the potential to support the early detection and diagnosis of plant diseases, enabling fast crop damage mitigation. Additionally, the implementation of the proposed AMRCNN model in the Android phone-based application gives an opportunity for the widespread use of mobile ...
To evaluate the performanceof MX-MLF2, we compare it with other pre-trained deep learning models such as MobileNet V1, MobileNetV2, and Inception V3." 展开 关键词: Tamil Nadu India Asia Agriculture Networks Neural Networks Plant Diseases and Conditions Plant Physiological Phenomena KPR Institute...
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1. The entire Plant Kingdom was broadly treated with excellent illustrations, and phylogenetic arrangement of many groups of plants was made. 2. The amalgamation of Polypetalae and Monochlamydeae into Archichlamydeae is justified. ADVERTISEMENTS: ...
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Explore and run machine learning code with Kaggle Notebooks | Using data from New Plant Diseases Dataset
plant diseases classification auto_awesome_motion View Active Events Musabbir Ahmed Arrafi·2y ago· 1,389 views arrow_drop_up6 Copy & Edit79 more_vert Copied from Tathagat Banerjee (+273,-69) NotebookInputOutputLogsComments (0) comment 0 Comments...
Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of...