Deep Learning is acquiring momentum in the agricultural field for crop disease detection using image processing due to its computational power. Several deep learning techniques have been implemented in different domains and recently introduced in the field of agriculture to classify and predict the ...
Machine learningAgricultureCropProtectionDiseaseThe technological advancements in the field of agriculture have increased to a great extent in recent years, and many techniques have evolved from other techniques. Some methods are improved or upgraded from the previous versions by implementing a new model ...
A team of researchers at Pennsylvania State University and the École Polytechnique Fédérale de Lausanne, Switzerland haveturned the keen eye of artificial intelligence toward agriculture, using deep learning algorithms to help detect crop disease before it spreads. Recommended Videos “If it can do ...
crop-disease-diagnosis-service crop disease diagnosis service application with image-captioning and object-detection(deep learning) paper Lee, D.I.; Lee, J.H.; Jang, S.H.; Oh, S.J.; Doo, I.C. Crop Disease Diagnosis with Deep Learning-Based Image Captioning and Object Detection. Appl....
BREAST CANCER DETECTION AND CLASSIFICATION USING HISTOPATHOLOGICAL IMAGES BASED ON OPTIMIZATION-ENABLED DEEP LEARNING Cancer is the second cause of mortality worldwide and it has been identified as a perilous disease. Among all types of cancers, Breast Cancer (BC) is a sub... S Salim,R Sarath ...
The detection and identification of such plant diseases play a critical role in sustaining agricultural productivity and preventing crop losses. Manual disease tracking is a labor-intensive, knowledge-dependent, and time-consuming task. To address these challenges, Deep-TL (Deep Transfer Learning) ...
Plant disease detection using machine learning Proceedings of the international conference on design innovations for 3Cs compute communicate control (ICDI3C) (2018), pp. 41-45 Bangalore, India CrossrefGoogle Scholar [9] A. Abade, P.A. Ferreira, F. de Barros Vidal Plant diseases recognition on...
In this research work, a novel voting-based ensembled-deep-learning paradigm is developed for crop disease detection. Initially, the collected raw images are pre-processed via Laplacian Filter and morphological operations. From, the pre-processed image, the ROI region is identified using K-means ...
Deep learning-based plant disease identification workflow Full size image Recently, there has been considerable interest in crop diseases diagnosis using deep learning algorithms to process images acquired through UAV platforms. Several recent studies on crop diseases detection from UAV imagery are based ...
Deep learning (DL) techniques have proven to be a successful approach in detecting weeds for site-specific ii ecd management (SSWM). In the past, most of t... N Rai,X Sun,C Igathinathane - 《Journal of the Asabe》 被引量: 0发表: 2023年 Real-Time Crop Disease Detection and Remedial...