Deep Learning-Driven Predictive Modelling for Optimizing Stingless Beekeeping Yields by Noor Hafizah Khairul Anuar, Mohd Amri Md Yunus, Muhammad Ariff Baharudin, Sallehuddin Ibrahim, Shafishuhaza Sahlan

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Prediction and Analysis of Rice Production and Yields Using Ensemble Learning Techniques by Yudha Islami Sulistya, Aina Musdholifah, Chrissandy Sapuletea, Elsi Titasari Br Bangun, Hizbullah Hamda, Sarah Anjani, Abednego Dwi Septiadi

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Forecasting the Sugarcane Yields Based on Meteorological Data Through Ensemble Learning by Sumit Kumar, Millie Pant, Atulya Nagar

“…This research aims to enhance the precision of sugarcane yield prediction in India by developing a stacking ensemble learning model. …”
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An Evaluation of Machine Learning Models for Forecasting Short-Term U.S. Treasury Yields by Yi-Fan Wang, Max Yue-Feng Wang, Li-Ying Tu

“…The results highlight the superiority of ensemble-based nonlinear models in capturing complex interactions between economic indicators and yield dynamics. This research not only provides empirical support for using machine learning in economic forecasting but also offers practical implications for bond traders, system developers, and financial institutions aiming to enhance predictive accuracy and risk management.…”
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Numerical investigation of future potato yields in Bangladesh using Machine learning and IoT by Kabyo Deb, Rahul Das, SAURAV SARKAR, DR. MD. SOHIDUL ISLAM, NAZNIN NAHAR KHANOM MIM

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IMPROVING AGRICULTURAL YIELDS IN THE DEMOCRATIC REPUBLIC OF CONGO USING MACHINE LEARNING ALGORITHMS by Rodolphe Nsimba Malumba, Mardochee Longo Kayembe, Fiston Chrisnovic Balanganayi Kabutakapua, Bopatriciat Boluma Mangata, Trésor MAZAMBI KILONGO, Rufin Tabiaki Tandele, Emmanuel Ntanyungu Ndizieye, Parfum Bukanga Christian

Subjects: “…agricultural yields…”
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Enhancing Registration Offices’ Communication Through Interpretable Machine-Learning Techniques by Danilo Augusto Sarti, Tommaso Bardelli, Pier Giacomo Bianchi, Anna Pia Maria Giulini

“…This study presents a protocol for applying Interpretable Machine Learning (IML) to enhance communication within Variety Registration Offices (VROs). …”
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Advancing Corn Yield Mapping in Kenya Through Transfer Learning by Ahaan Bohra, Sophie Nottmeyer, Chenchen Ren, Shuo Chen, Yuchi Ma

Subjects: “…corn yield estimation…”
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Joint Prediction of U.S. Rice Yields and Methane Emissions: A Machine Learning Approach by Jameson Augustin, Munisamy Gopinath, Berna Karali, Yuhan Rao

Subjects: “…Machine learning…”
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Soybean yield prediction leveraging advanced ensemble machine learning models by RAM MANOHAR PATEL, KAMAL BUNKAR

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Smart Coffee: Machine Learning Techniques for Estimating Arabica Coffee Yield by Cleverson Henrique de Freitas, Rubens Duarte Coelho, Jéfferson de Oliveira Costa, Paulo Cesar Sentelhas

“…This study applied machine learning to predict the Arabica coffee yield in the region, analyzing two groups of cultivars (G1 and G2) using data from 1993 to 2020. …”
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Applications of Machine Learning Technologies for Feedstock Yield Estimation of Ethanol Production by Hyeongjun Lim, Sojung Kim

“…Particularly, this study reviews feedstock yield estimation approaches using machine learning technologies that focus on gradually improving estimation accuracy by using big data and computer algorithms from traditional statistical approaches. …”
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A Comparative Study of Machine Learning Methods for Pyrolysis Yield Prediction by Seyed Mohammad Razavi, Rahmat Sotudeh Gharebagh, Navid Mostoufi, Jamal Chaouki, K.D.P. Nigam

Subjects: “…machine learning…”
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Application of multimodal machine learning-based analysis for the biomethane yields of NaOH-pretreated biomass by Oluwatobi Adeleke, Kehinde O. Olatunji, Daniel M. Madyira, Tien-Chien Jen

“…Abstract This study investigated the impact of alkaline pretreatment on the biomethane yield of Xyris capensis experimentally and computationally using machine-learning (ML)-based techniques. …”
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Prediction of Rice Yields in a Changing Climate Using the Mobile Rice Yield Prediction Application by Mohamad Farhan Mohamad Mohsin, Mohamad Ghozali Hassan, Kamal Imran Mohd Sharif, Mohd Azril Ismail, Liew Jun Hong, Muhammad Khalifa Umana, Hairazi Rahim@Abdul Rahim

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Automatic Filtering of Sugarcane Yield Data by Eudocio Rafael Otavio da Silva, José Paulo Molin, Marcelo Chan Fu Wei, Ricardo Canal Filho

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A review of machine learning approaches for predicting lettuce yield in hydroponic systems by Sabrina Sharmin, Md. Tazel Hossan, Mohammad Shorif Uddin

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Predicting Sugar Yield From Sugarcane Using Machine Learning for Jaggery Production by Kathirvel Narayanasamy, Ilayaraja Venkatachalam

Subjects: “…Sugar yield prediction…”
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Advanced machine learning for regional potato yield prediction: analysis of essential drivers by Dania Tamayo-Vera, Morteza Mesbah, Yinsuo Zhang, Xiuquan Wang

“…This research evaluates machine learning models, including Random Forest and Gradient Boosting, for predicting crop yields. …”
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Field scale wheat yield prediction using ensemble machine learning techniques by Sandeep Gawdiya, Dinesh Kumar, Bulbul Ahmed, Ramandeep Kumar Sharma, Pankaj Das, Manoj Choudhary, Mohamed A. Mattar

Subjects: “…Ensemble machine learning…”
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