Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems. Plant Methods. 2018;14:86. Article Google Scholar Moellers TC, Singh A, Zhang J, Brungardt J, Kabbage M, Mueller DS, et al. Main and epistatic ...
Plant species identification using a TensorFlow Lite model within mobile devices Using Pre-trained Models Count cars in aerial imagery using deep learning Classify land cover to measure shrinking lakes Cloud removal using pretrained deep learning model and raster function Finetuning Pre-trained Building ...
According to [1], DL-based solutions for real-time insect detection and identification in the soybean crop have been proposed. The performances of various transfer learning (TL) models were investigated to determine the feasibility and reliability of the proposed approach for determining the insect’...
Plant diseases and pests are important factors determining the yield and quality of plants. Plant diseases and pests identification can be carried out by means of digital image processing. In recent years, deep learning has made breakthroughs in the fiel
Agriculture is the most primary and indispensable source to furnish national income of numerous countries including India. Diseases in plants/crops are the serious causes in degrading the production quantity and quality, which results in economy losses. Thus, identification of the diseases in plants is...
ArticleADSGoogle Scholar Too EC, Yujian L, Njuki S, Yingchun L. A comparative study of fine-tuning deep learning models for plant disease identification. Comput Electron Agric. 2019;161:272–9. Anwar Z, Masood S. Exploring Deep Ensemble Model for Insect and Pest Detection from Images. Proc...
Geiger, Bush Heritage Australia, the University of Limpopo, Comunidad Agricola Quebrada de Talca, Conaf Chile and South African Environmental Observation Network (SAEON) for assistance with field work and plant identification, the South African Military for assistance with field work and/or granting ...
A. Forward genetic in planta screen for identification of plant-protective traits of Sphingomonas sp. strain Fr1 against Pseudomonas syringae DC3000. Appl. Environ. Microbiol. 78, 5529–5535 (2012). Article CAS PubMed PubMed Central Google Scholar Hruz, T. et al. Genevestigator v3: a ...
Abstract Through the years, plant diseases have been a consistent risk to food security. Hence, their rapid identification could significantly mitigate the economic losses around the world, also reducing the harmful effect of manures and pesticides on the climate. When the disease is recognized, matc...
using the fully connected layer. As the identification of plant vacuole proteins and peroxisomal proteins in this study is a binary classification task, the value of m is 2. The SoftMax function is then applied to map the values to the interval [0, 1], and the plant vacuole proteins and...