Quantum GIS (QGIS): An introduction to a free alternative to more costly GIS platforms by Jeffry M. Flenniken, Steven Stuglik, Basil V. Iannone

“…Iannone III and published by the UF/IFAS School of Forest Resources and Conservation introduces the reader to a free GIS software package called Quantum GIS (QGIS), walking the reader through simple GIS processes that can be used to visualize spatial patterns of importance to a variety of fields, including natural resources, agriculture, and urban planning. …”
Get full text

Identificación de las principales enfermedades de la planta del café (Coffea arabica) a través de visión artificial by Oscar Eder Flores Colorado, Jair Cervantes Canales, Farid García-Lamont, José Sergio Ruiz Castilla

“…Por último, se implementaron cuatro algoritmos de clasificación entre los que se encuentran support vector machine, random forest, Naive Bayes y redes neuronales artificiales backpropagation. …”
Get full text

How to Define Successful Stocking of Florida’s Freshwater Recreational Fisheries by Edward Vincent Camp, Rick Stout, Nick Trippel, Jon Fury, Stasey Whichel, Kai Lorenzen

“…Camp, Rick Stout, Nick Trippel, Jon Fury, Stasey Whichel, and Kai Lorenzen and published by the UF/IFAS School of Forest Resources and Conservation Program in Fisheries and Aquatic Sciences reviews recent scientific literature to describe the benefits of stocking and the potential drawbacks to create useful definitions of stocking success, as well as metrics for evaluation that are specifically tailored for Florida. …”
Get full text

Driver anomaly detection in cargo terminal by Shahab Emaani, Abbas Saghaei

“…Subsequently, Isolation Forest, KNN, and HBOS algorithms are applied to detect abnormal behavior using data mining techniques. …”
Get full text

1923-1980 Yılları Arasında Isparta Sanayisi ve Ekonomiye Katkıları by Esin YÜZBAŞI, Bayram AKÇA

“…Especially in the early 1970s, different industrial sectors developed, cement, feed, forest products processing, biscuit, fruit juice and garment factories have been opened and thanks to these, the number of products that Isparta exports and the level of gross provincial income due to industry increased. …”
Get full text

Comparative Study for Classification Algorithms Performance in Crop Yields Prediction Systems by Halbast Rashid Ismael, Adnan Mohsin Abdulazeez, Dathar A. Hasan

“…The performance of the decision tree, naive Bayes, random forest, support vector machine and K-nearest neighbour is measured and compared to each other. …”
Get full text

Mobiliary Art Objects from the Koksharovski Kholm Sanctuary by Alexander F. Shorin, Anastasia A. Shorina

“…The article deals with mobiliary art objects found in the cultural layers of the complex of archaeological sites " Koksharovskiy Kholm sanctuary – Yuryinskoye settlement", located in the mountain forest zone of the Middle Trans-Urals. The archaeological site contains artifacts from the Neolithic, Chalcolithic, Late Bronze Age, and Middle Ages. …”
Get full text

Machine Learning Optimization and Challenges in Used Car Price Prediction by Zheng Yufan

“…To begin with, models like XGBoost and Random Forest excel at processing large-scale data and identifying complex feature patterns, thanks to their ability to use an ensemble of decision trees to reduce bias and variance. …”
Get full text

Latest news from the bonobos: Pan paniscus myths and realities by David Beaune

“…Bonobos are probably a key species in forest ecology through their seed dispersal mutualism with plants whose fruits they eat. …”
Get full text

A Semen Extender for the Short-Term Storage of Fish Sperm by Frank A. Chapman

“…Chapman and published by the Program in Fisheries and Aquatic Sciences in the School of Forest Resources and Conservation, May 2016. FA193/FA193: A Semen Extender for the Short-Term Storage of Fish Sperm (ufl.edu) …”
Get full text

Surface Albedo Assimilation and Its Impact on Surface Radiation Budget in Beijing by Chunlei Meng

“…For cropland, grassland, and forest areas, after assimilation, the annual average net radiations increase about 20.2%, 24.3%, and 18.7%, respectively.…”
Get full text

Technically Speaking, What Is Sturgeon Caviar? by Frank A. Chapman, Joel P. Van Eenennaam

“…Van Eenennaam, and published by the School of Forest Resources Program in Fisheries and Aquatic Sciences, June 2016. …”
Get full text

A Closest Resemblance Classifier with Feature Interval Learning and Outranking Measures for Improved Performance by Nabil Belacel

“…We evaluate our classifiers on multiple UCI repository datasets and compare them with established methods, including k-Nearest Neighbors (k-NN), Support Vector Machine (SVM), Random Forest (RF), Neural Networks (NNs), Naive Bayes (NB), and Nearest Centroid (NC). …”
Get full text

Hybrid ML Algorithm for Fault Classification in Transmission Lines Using Multi-Target Ensemble Classifier with Limited Data by Abdallah El Ghaly

“…The proposed algorithm achieved an impressive overall accuracy of 0.829165, outperforming traditional methods, including the K-Nearest Neighbors Classifier, support vector classification, random forest classifier, decision tree classifier, AdaBoost classifier, gradient boosting classifier, and Gaussian NB. …”
Get full text

Facilitating Community Change: Lessons from Climate Adaptation to Guide Extension Engagement by Martha C. Monroe, Annie Oxarart, Holly Abeels, Wendy-Lin Bartels, Alicia Bradigan-Betancourt, Crystal Goodison, Thomas Ruppert

“… This 19-page publication written by Martha Monroe and Annie Oxarart and published by the UF/IFAS School of Forest Resources and Conservation provides Extension faculty in Florida with useful strategies to help communities understand, discuss, evaluate, and recommend potential solutions to current and future problems. …”
Get full text

Chemical Composition and Nutritional Value of Three Sonchus Species by Galdino Xavier de Paula Filho, Tibério Fontenele Barreira, Helena Maria Pinheiro-Sant’Ana

“…Species of unconventional food plants of the genus Sonchus are widely consumed in rural populations living in the Brazilian Atlantic Forest. This study investigated the nutritional composition of S. oleraceus, S. asper, and S. arvensis species. …”
Get full text

Classification of Gastrointestinal Diseases Using Hybrid Recurrent Vision Transformers With Wavelet Transform by Biniyam Mulugeta Abuhayi, Yohannes Agegnehu Bezabh, Aleka Melese Ayalew, Miraf Alemayehu Lakew

“…The classification phase employs an ensemble of four classifiers: support vector machines, Bayesian network, random forest, and logistic regression. The system was trained and tested on the Hyper–Kvasir dataset, the largest publicly available GI tract image dataset, achieving an accuracy of 99.13% and an area under the curve of 0.9954. …”
Get full text

Properties of a Laminated Wood Composite Produced with Thermomechanically Treated Veneers by Larissa M. Arruda, Cláudio H. S. Del Menezzi

Get full text

Advancements in Machine Learning and Deep Learning Techniques for Crop Yield Prediction: A Comprehensive Review by V. Ramesh and P. Kumaresan

“…To accomplish this, we have surveyed the optimization algorithms implemented in conjunction with the Random Forest and Cat Boost models. A survey made across multiple databases to determine the effectiveness of crop yield prediction and analysis was performed on the included articles. …”
Get full text

Estimating regional shared trailer demand in drop-and-pull transport by Mei Feng, Qianwei Peng, Zhixue Zhao

“…Three different machine learning models, namely linear regression, random forest, and XGBoost, were used to predict the freight volume. …”
Get full text