WebThis data set represents eight chemical measurements on different specimen of olive oil produced in various regions in Italy (northern Apulia, southern Apulia, Calabria, Sicily, … WebMay 1, 2024 · This study presents a data set consisting of 3400 olive leaves samples which also includes healthy leaves so as to detect Aculus olearius and Olive peacock spot …
olive: Italian olive in dslabs: Data Science Labs
WebJun 6, 2024 · The dataset consists of 1268 near-IR fundus images each with at least 49 OCT scans, and 16 biomarkers, along with 4 clinical labels and a disease diagnosis of DR or DME. In total, there are 96 eyes' data averaged over a period of at least two years with each eye treated for an average of 66 weeks and 7 injections. We benchmark the utility of ... WebDec 19, 2024 · The transversal fruit diameter (FD) was monitored continuously by automatic extensimeters (fruit gauges) in order to monitor fruit growth dynamics under deficit irrigation treatments. The daily diameter fluctuation (ΔD, mm), the daily growth (ΔG, mm), the cumulative fruit growth (CFG, mm), and the fruit relative growth rate (RGR, mm … marquette university schroeder hall
model based on clusters of similar color and NIR to estimate …
WebApr 13, 2024 · This study examines the feasibility of using front-face fluorescence (FFFS), near-infrared (NIR), and mid-infrared (MIR) spectroscopies for the authentication of 100 extra virgin argan oil (EVAO) samples originated from 5 regions in Morocco (Chtouka, Essaouira, Sidi Ifni, Taroudant, and Tiznit) characterised by their different altitudinal levels, rainfall, … WebPreface Regressionis the study of the conditional distribution Y x of the response Y given the p × 1 vector of nontrivial predictors x. In a 1D regression model, Y is conditionally independentof x givena single linearcombination α+βTx of the predictors, written Y x (α+βTx)orYx βTx. Many of the most used statistical methods are 1D models, including … WebHi everyone! Do you know of any olive pest and diseases dataset, needed for a computer vision task? If I try to work with a more general one, for example images with all kind of plant diseases and pests and apply transfer learning, will it work? There are data available in this case, just wondering if it's a reasonable alternative. marquette university masters in counseling