Leucaena leucocephala, White Leadtree by Michael G. Andreu, Melissa H. Friedman, Robert J. Northrop

“…Northrop, and published by the UF Department of School of Forest Resources and Conservation, July 2012. FOR299/FR367: Leucaena leucocephala, White Leadtree (ufl.edu) …”
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Tung Oil Production in Florida by Patrick Joseph Minogue

“…This 3-page fact sheet written by Pat Minogue and published by the UF/IFAS School of Forest Resources and Conservation presents a history of tung oil production in Florida and provides the ecology and cultivation of the fast-growing trees. …”
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Cat’s-Claw Vine, Dolichandra unguis-cati—A Showy but Invasive Plant in Florida by Niels Proctor, Jason Smith

“…Written by Niels Proctor and Jason Smith, and published by the UF Department of School of Forest Resources and Conservation, October 2014. Revised June 2018. …”
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Déguerpissements et déplacements forcé à Addis-Abeba by Bezunesh Tamru

“…Our study focuses on the populations of the northeastern part of the capital in the Yeka forest district, and analysis the evolution of their urban citizenship. …”
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Integrating Remote Sensing and Soil Features for Enhanced Machine Learning-Based Corn Yield Prediction in the Southern US by Sayantan Sarkar, Javier M. Osorio Leyton, Efrain Noa-Yarasca, Kabindra Adhikari, Chad B. Hajda, Douglas R. Smith

“…Four regression and machine learning algorithms were evaluated for yield prediction: linear regression, random forest, extreme gradient boosting, and gradient boosting regressor. …”
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Scaling Arctic landscape and permafrost features improves active layer depth modeling by Wouter Hantson, Daryl Yang, Shawn P Serbin, Joshua B Fisher, Daniel J Hayes

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Perancangan Aplikasi Tanggap Api Berbasis Android Menggunakan Metode Design Sprint by Agus Tedyyana, Muhammad Fauzi, Depandi Enda, Fajar Ratnawati, Elgamar Syam

“…Throughout 2019, at least 209 forest and land fire disasters occurred with a burned area of around 2146,2 Ha. …”
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Tea cultivation: facilitating soil organic carbon accumulation and altering soil bacterial community—Leishan County, Guizhou Province, Southwest China by Yingge Shu, Shan Xie, Hong Fan, Chun Duan, Yuansheng Liu, Zuyong Chen

“…Results Compared to the adjacent uncultivated forest (CK), the soil organic carbon (SOC), easily oxidizable carbon (EOC), particulate organic carbon (POC), and dissolved organic carbon (DOC) contents in a 40-year tea plantation significantly increased. …”
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NEW MID-SEASON SPRING BARLEY CULTIVAR OMSKY 101 by P. N. Nikolaev, O. A. Yusova, N. I. Aniskov, I. V. Safonova, J. V. Ryapolova

“…‘Omsky 95’ both in the southern forest-steppe zone (+0.55 t/ha) and in the steppe zone (+0.38 t/ha). …”
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PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things by Mutkule Prasad Raghunath, Shyam Deshmukh, Poonam Chaudhari, Sunil L. Bangare, Kishori Kasat, Mohan Awasthy, Batyrkhan Omarov, Rajesh R. Waghulde

“…The PSO-based SVM method is shown superior performance compared to random forest and linear regression methods in terms of precision, recall, and specificity.…”
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Rapid Detection of Hybrid Maize Parental Lines Using Stacking Ensemble Machine Learning by M. Aqil, M. Azrai, M. J. Mejaya, N. A. Subekti, F. Tabri, N. N. Andayani, Rahma Wati, S. Panikkai, S. Suwardi, Z. Bunyamin, E. Roy, M. Muslimin, M. Yasin, E. Prakasa

“…The integration of the model with machine learnings (logistic regression, SVM, random forest, and KNNs) enables rapid recognition of off-type plants even though it is operated by personnel with limited skills of seed technology on ideotype recognition. …”
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Sediment organic carbon stocks in tropical lakes and its implication for sustainable lake management by T.R. Soeprobowti, N.D. Takarina, P.S. Komala, L. Subehi, M. Wojewódka-Przybył, J. Jumari, R. Nastuti

“…In addition, the study’s results also exhibited significant differences in sediment organic carbon stocks at each location with different land use and cover; in this case, the forest area has a higher carbon stock value than the agricultural and settlement areas. …”
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Detection of Bartonella spp. in foxes' populations in Piedmont and Aosta Valley (NW Italy) coupling geospatially-based techniques by Annalisa Viani, Tommaso Orusa, Sara Divari, Stella Lovisolo, Stefania Zanet, Riccardo Orusa, Enrico Borgogno-Mondino, Enrico Bollo

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Understanding crystallinity indexes benchmarking concept from optimized parametric ionic liquid pretreatment using 1-ethyl-3-methylimidazolium Acetate [EMIM]Ac on oil palm biomass by Amizon Azizan, Rosmaria Abu Darim, Intan Suhada Azmi, Rafidah Jalil, Shareena Fairuz Abdul Manaf

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Problem of pain in the USA: evaluating the generalisability of high-impact chronic pain models over time using National Health Interview Survey (NHIS) data by Sean Mackey, Titilola Falasinnu, Md Belal Hossain, Mohammad Ehsanul Karim, Kenneth Arnold Weber

“…We used logistic regression with Least Absolute Shrinkage and Selection Operator (LASSO) and random forest techniques. We assessed model discrimination, calibration and overall performance using metrics such as area under the curve (AUC), calibration slope and Brier score.Results Scenario 1, validating the NHIS 2016 model against 2017 data, demonstrated excellent discrimination with an AUC of 0.89 (95% CI 0.88 to 0.90) for both LASSO and random forest models. …”
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Sediment organic carbon stocks in tropical lakes and its implication for sustainable lake management by T.R. Soeprobowti, N.D. Takarina, P.S. Komala, L. Subehi, M. Wojewódka-Przybył, J. Jumari, R. Nastuti

“…In addition, the study’s results also exhibited significant differences in sediment organic carbon stocks at each location with different land use and cover; in this case, the forest area has a higher carbon stock value than the agricultural and settlement areas. …”
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Study on the evolution of the spatial patterns and driving factors of national agricultural cultural heritage in China. by Lifei Xu, Yuyu Liao, Jun Liu

“…The types of national agricultural cultural heritage are diverse and rich, involving farmland landscapes, composite systems, crop varieties, vegetables and melons, tea, forest fruits, special products, farmland irrigation, and animal breeding, in which forest and fruit class heritage site dominate. ②From a regional perspective, the spatial distribution of China's national agricultural cultural heritage varies greatly, with strong national and regional characteristics. …”
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Novel approach for noninvasive pelvic floor muscle strength measurement using extracorporeal surface perineal pressure measurement and machine learning modeling by Ui-jae Hwang, Sun-hee Ahn, Hyeon-ju Lee, Yurin Jeon, Myung Jae Jeon

“…The top-performing models for predicting bladder base displacement were the support vector machine [root mean square error (RMSE) = 0.139, R2 = 0.542], random forest (RMSE = 0.123, R2 = 0.367), and AdaBoost (RMSE = 0.123, R2 = 0.320) on the training set, and AdaBoost (RMSE = 0.173, R2 = 0.537), random forest (RMSE = 0.177, R2 = 0.512), and support vector machine (RMSE = 0.178, R2 = 0.508) on the test set. …”
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Assessing recovery time of ecosystems in China: insights into flash drought impacts on gross primary productivity by M. Lu, M. Lu, H. Sun, H. Sun, H. Sun, Y. Yang, J. Xue, H. Ling, H. Zhang, W. Zhang

“…Herbaceous vegetation recovers more rapidly than woody forests, with deciduous broadleaf forests demonstrating the shortest recovery time. …”
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Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang by Sutarman, Rimbun Siringoringo, Dedy Arisandi, Edi Kurniawan, Erna Budhiarti Nababan

“…These results are better than those of four other classification models, namely Naïve Bayes, Decision Tree, K-NN, and Random Forest. …”
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