Three-Dimensional Reconstruction, Phenotypic Traits Extraction, and Yield Estimation of Shiitake Mushrooms Based on Structure from Motion and Multi-View Stereo by Xingmei Xu, Jiayuan Li, Jing Zhou, Puyu Feng, Helong Yu, Yuntao Ma

“…Using these parameters, yield estimation was performed using PLSR, SVR, RF, and GRNN machine learning models, with GRNN demonstrating superior performance (<i>R</i>² = 0.91). …”
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Deep Learning-Based Portfolio Management: Empirical Study of Listed Shares on the Indonesian Stock Exchange by Grace Citra Dewi, Patrick Villanueva, Sutanto Hidayat, Elysabeth Christy Diandra Selano

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Predictive Analysis of Mechanical Properties in Cu-Ti Alloys: A Comprehensive Machine Learning Approach by Mihail Kolev

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A hybrid deep learning-based approach for optimal genotype by environment selection by Zahra Khalilzadeh, Motahareh Kashanian, Saeed Khaki, Lizhi Wang

“…Data-driven approaches, particularly those based on machine learning, can help guide breeding efforts by factoring in genotype-environment interactions when making yield predictions. …”
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Predicted water yield of open-pit metal mines based on a Bi-RNN and GMS coupling model by Yuxing ZHAO, Xiangwen LI

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Comparative Evaluation of Ensemble Machine Learning Models for Methane Production from Anaerobic Digestion by Dorijan Radočaj, Mladen Jurišić

“…This study provides a comparative evaluation of several ensemble model constructions for the prediction of specific methane yield (SMY) from anaerobic digestion. From the authors’ knowledge based on existing research, present knowledge of their prediction accuracy and utilization in anaerobic digestion modeling relative to individual machine learning methods is incomplete. …”
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High-throughput sequencing metabarcoding and network analysis elucidate the effects of soil fumigation and biostimulant on potato yield, rhizoctonia canker, and fungal community by Honoré Tekeu, Honoré Tekeu, Honoré Tekeu, Joël D’Astous-Pagé, Thomas Jeanne, Richard Hogue

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Enhancing weather index insurance through surrogate models: leveraging machine learning techniques and remote sensing data by Sachini Wijesena, Biswajeet Pradhan

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A machine learning approach to assess the climate change impacts on single and dual-axis tracking photovoltaic systems by Udit Mamodiya, Indra Kishor, Priyam Ganguly, Isha Mukherjee, Nithesh Naik

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Drone-assisted climate-smart agriculture (DACSA): A spatially-based outcome prediction model as an initial approach to track yield changes in shallot planting areas

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Impact of length of stay on diagnostic yield in the epilepsy monitoring unit: A multi‐center retrospective 12‐year Veterans Health Administration study by Maximillian S. Feygin, Autumn Smith, Sruthi Gopinath Karicheri, Khadar Haroun, Omar Khan, Maria R. Lopez, Stephan Eisenschenk, John Jones, Stephanie Reeder, Alan R. Towne, Christopher Ransom, Karen Medin, James Chen, Tung Tran, Nina I. Garga, Noemi Rincon‐Flores, Marissa Kellogg, Steven Tobochnik, Zulfi Haneef, the Veterans Epilepsy Learning, Collaborative Research, and Operations (VELCRO) investigators

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Priming bumble bees with caffeine, odour of the target crop, and a food reward, has minimal effects on fruit crop pollination and yield in a semi-commercial setup by Sarah Arnold, Celine Silva, Jan-Hendrik Dudenhöffer, David Hall, Dudley Farman, Felix Wäckers, Philip Stevenson, Michelle Fountain

“…Previous laboratory work found inexperienced bumblebees (Bombus terrestris) located new food sources emitting a learned floral odour more consistently if they had been fed caffeine in association with the odour and a food reward. …”
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Correction: Di et al. A New Framework for Winter Wheat Yield Prediction Integrating Deep Learning and Bayesian Optimization.... by Yan Di, Maofang Gao, Fukang Feng, Qiang Li, Huijie Zhang

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Research on Yield Prediction Model Driven by Mechanism and Data Fusion by Xin Meng, Xingyu Liu, Hancong Duan, Ze Hu, Min Wang

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Yield Diagnosis and Tuning for Emerging Semiconductors During Research Stage by Chunshan Wang, Zizhao Ma, Yuxuan Zhu, Chensheng Jin, Dongyu Chen, Chuxin Zhang, Yining Chen, Wenzhong Bao, Yufeng Xie

“…The process of taking a new semiconductor device from the lab to the factory involves a lot of time, funds and manpower, a large portion of which is spent on device yield improvement. In recent years new methods have been tried to rapidly improve yields and using machine learning (ML) algorithms is one option. …”
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Automated classification of trees and evaluation of cone yield using drones by Alekhina Anna, Pastukhova Albina, Shcherba Yulia, Rodin Ilya

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Robust time series analysis for forecasting photovoltaic energy yield by Sapundzhi Fatima, Chikalov Aleksandar, Georgiev Slavi, Georgiev Ivan, Todorov Venelin

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From spectrum to yield: advances in crop photosynthesis with hyperspectral imaging by D. PANDA, S. MOHANTY, S. DAS, J. SENAPATY, D.B. SAHOO, B. MISHRA, M.J. BAIG, L. BEHERA

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Genomic and phenomic prediction for soybean seed yield, protein, and oil by Liza Van der Laan, Kyle Parmley, Mojdeh Saadati, Hernan Torres Pacin, Srikanth Panthulugiri, Soumik Sarkar, Baskar Ganapathysubramanian, Aaron Lorenz, Asheesh K. Singh

“…We observed that PP had a higher correlation coefficient than GP for seed yield, while GP had higher correlation coefficients for seed protein and oil contents. …”
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An explainable Bi-LSTM model for winter wheat yield prediction by Abhasha Joshi, Biswajeet Pradhan, Subrata Chakraborty, Subrata Chakraborty, Renuganth Varatharajoo, Abdullah Alamri, Shilpa Gite, Chang-Wook Lee

“…Deep learning (DL) methods, particularly Long Short-Term Memory networks, have emerged as one of the most widely used architectures in yield prediction studies, providing promising results. …”
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