Multi-objective Bayesian optimization of carbon nanotube yield and diameter control at synthesis by R. Waelder, W. Kim, M. A. Pitt, J. I. Myung, B. Maruyama

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Estimating Tea Plant Physiological Parameters Using Unmanned Aerial Vehicle Imagery and Machine Learning Algorithms by Zhong-Han Zhuang, Hui-Ping Tsai, Chung-I Chen

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Unveiling the effects of electric field treatments on crop cultivation: a game-changing sustainable energy strategy for plant pathogen eradication and boosting yield growth in agri... by S.S. Jayakrishna, S. Sankar Ganesh

“…The results are validated through a computer vision-based model that improved YOLO-v8 by redesigning the c2f function and employing deep learning techniques with a self-developed Banana Pathogenic Nematode (BPN) dataset. …”
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Benchmarking farm-level cotton water productivity using on-farm irrigation measurements and remotely sensed yields by Zitian Gao, Danlu Guo, Dongryeol Ryu, Andrew W. Western

“…We trained remote sensing (RS)-based machine learning (ML) models – Random Forest Regression (RFR), Gradient Boosting Regression (GBR) and Support Vector Regression (SVR) – to predict yields for over 400 cotton fields with ground-truth yield data. …”
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Field-scale evaluation of low-elevation and mobile drip irrigation systems by Masoumeh Hashemi, Matt Yost, Jonathan Holt

Subjects: “…Interpretive Machine learning…”
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Hybrid Approach of Cotton Disease Detection for Enhanced Crop Health and Yield by Rahul Kumar, Ashok Kumar, Karamjit Bhatia, Kottakkaran Sooppy Nisar, Siddharth Singh Chouhan, Priti Maratha, Anoop Kumar Tiwari

“…” These models include Random Forest, Support Vector Machine (SVM), Multi-Class SVM, and an Ensemble model. This investigation yields a practical and visually informative system for disease detection, which can contribute to disease prevention, thereby enhancing both crop yield and quality. …”
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High-yield spidroin mimics for bioinspired fibers via computational design by Yufan Huang, Junzi Qi, Bingrui An, Bensheng Zhang, Yukang Yang, Cheng Cheng, Bingfang He, Bingfang He

“…Addressing these challenges, the study integrates deep learning and bioengineering to design water-soluble, β-sheet-rich spidroin mimics optimized for efficient prokaryotic expression. …”
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Prediction of Drought Thresholds Triggering Winter Wheat Yield Losses in the Future Based on the CNN-LSTM Model and Copula Theory: A Case Study of Henan Province by Jianqin Ma, Yan Zhao, Bifeng Cui, Lei Liu, Yu Ding, Yijian Chen, Xinxi Zhang

Subjects: “…CNN-LSTM deep learning model…”
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Using Machine Learning to Assess the Effects of Biochar-Based Fertilizers on Crop Production and N₂O Emissions in China by Yuan Zeng, Sujuan Chen, Yunpeng Li, Li Xiong, Cheng Liu, Muhammad Azeem, Xiaoting Jie, Mei Chen, Longjiang Zhang, Jianfei Sun

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Achieving excellent mechanical properties in CoNiCrMo multi-principal element alloys: A comprehensive approach integrating mean square atomic displacement and machine learning meth... by Yang Long, Wei Fang, Haoyang Yu, Tiexu Peng, Cong Li, Weiguang Liu, Chang Liu, Qinghe Jia, Yushui Chen, Jia Li, Fuxing Yin

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Gradient boosting for yield prediction of elite maize hybrid ZhengDan 958. by Oumnia Ennaji, Sfia Baha, Leonardus Vergutz, Achraf El Allali

“…Given the complex web of management practices and their nonlinear effects on yield prediction, it is important to investigate new machine learning algorithms. …”
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Using Data-Driven Computer Vision Techniques to Improve Wheat Yield Prediction by Merima Smajlhodžić-Deljo, Madžida Hundur Hiyari, Lejla Gurbeta Pokvić, Nejra Merdović, Faruk Bećirović, Lemana Spahić, Željana Grbović, Dimitrije Stefanović, Ivana Miličić, Oskar Marko

“…The novel application of automated ear counting via machine learning provides a scalable, efficient solution for yield prediction, enhancing sustainability and competitiveness in agriculture.…”
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Bayesian Network Analysis for the Factors Affecting the 305-day Milk Productivity of Holstein Friesians by Volkan Sevinç, Özge Akkuş, Çiğdem Takma, Öznur İşçi Güneri

Subjects: “…305-day milk yield…”
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Yield prediction method for regenerated rice based on hyperspectral image and attention mechanisms by Tian Hu, Zhihua Liu, Rong Hu, Lu Zeng, Kaiwen Deng, Huanglin Dong, Ming Li, Yang-Jun Deng

“…It mainly establishes a hyperspectral diagnostic model for crop yield through remote sensing data, assists in crop yield prediction, and finally uses Convolutional Neural Network methods for regression prediction. …”
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Smart Dairy Farming: A Mobile Application for Milk Yield Classification Tasks by Allan Hall-Solorio, Graciela Ramirez-Alonso, Alfonso Juventino Chay-Canul, Héctor A. Lee-Rangel, Einar Vargas-Bello-Pérez, David R. Lopez-Flores

“…This study analyzes the use of a lightweight image-based deep learning model to classify dairy cows into low-, medium-, and high-milk-yield categories by automatically detecting the udder region of the cow. …”
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Integrating Bioengineering and Machine Learning: A Multi-Algorithm Approach to Enhance Agricultural Sustainability and Resource Efficiency by Senthil G.A., Prabha R., Asha R.M., Suganthi S.U., Sridevi S.

Subjects: “…machine learning…”
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MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S.... by Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi, Hossein Arefi

“…Accurate prediction of soybean yield is important for safeguarding food security and improving agricultural management. …”
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Modelling distillate output of a solar distiller with eco-friendly wood-based steam generation basin using machine learning model and starling murmuration optimizer by Mohammed Azmi Al-Betar, Otto L. Muskens, Karrar A. Hammoodi, Mohamed Abd Elaziz, Qusai Yousef Shambour, Salam Fraihat, Ammar H. Elsheikh

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Prediction of Grain Yield in Henan Province Based on Grey BP Neural Network Model by Bingjun Li, Yifan Zhang, Shuhua Zhang, Wenyan Li

“…Finally, the GR-BPNN forecasting model was applied to the grain yield forecast of the whole province and subregions for Henan Province. …”
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FruitNet: Lightweight CNN for High-Throughput Image-Based Fruit Yield Estimation by Yadav Kamlesh Kumar, Tandan Gajendra

“…Innovations in this work include the most lightweight Convolutional Neural Network (CNN) named FruitNet proposed for achieving high throughput and image based estimation offrait yield. Based on state of art deep learning techniques, FruitNet predicts fruit yield from the image offrait bearing plants with accurancy and efficiency. …”
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