Results 101 to 110 of about 10,061,248 (351)

Applied Deep Learning-Based Crop Yield Prediction: A Systematic Analysis of Current Developments and Potential Challenges

Technologies
Agriculture is essential for global income, poverty reduction, and food security, with crop yield being a crucial measure in this field. Traditional crop yield prediction methods, reliant on subjective assessments such as farmers’ experiences, tend to be
Khadija Meghraoui, I. Sebari, Jürgen Pilz, Kenza Ait El kadi, S. Bensiali   +4 more
semanticscholar   +1 more source

An Expandable Yield Prediction Framework Using Explainable Artificial Intelligence for Semiconductor Manufacturing

Applied Sciences, 2023
Enormous amounts of data are generated and analyzed in the latest semiconductor industry. Established yield prediction studies have dealt with one type of data or a dataset from one procedure.
You-Jin Lee, Y. Roh
semanticscholar   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo, Weisi Dai, Jie Mao, Mei Ye, Xingshan Lu, Xiaocui Zhang   +5 more
wiley   +1 more source

A Systematic Review of Vegetation Indices for Potato Growth Monitoring and Tuber Yield Prediction from Remote Sensing

Potato Research
Crop intelligence and yield prediction of potato (Solanum tuberosum L.) are important to farmers and the processing industry. Remote sensing can provide timely information on growth status and accurate yield predictions during the growing season. However,
A. Mukiibi, A. Machakaire, A. Franke, J. Steyn   +3 more
semanticscholar   +1 more source

A data-driven crop model for maize yield prediction

Communications Biology, 2023
A data-driven and process-based model incorporates machine learning to predict maize yield from available historical data over both temporal and spatial dimensions using explainable parameters without the need for experimental calibration.
Yanbin Chang, Jeremy Latham, M. Licht, Lizhi Wang   +3 more
semanticscholar   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source

Corn Grain Yield Prediction Using UAV-Based High Spatiotemporal Resolution Imagery, Machine Learning, and Spatial Cross-Validation

Remote Sensing
Food demand is expected to rise significantly by 2050 due to the increase in population; additionally, receding water levels, climate change, and a decrease in the amount of available arable land will threaten food production. To address these challenges
Patrick Killeen, Iluju Kiringa, T. Yeap, Paula Branco   +3 more
semanticscholar   +1 more source

Deep learning for crop yield prediction: a systematic literature review

New Zealand journal of crop and horticultural science, 2022
Deep Learning has been applied for the crop yield prediction problem, however, there is a lack of systematic analysis of the studies. Therefore, this study aims to provide an overview of the state-of-the-art application of Deep Learning in crop yield ...
Alexandros Oikonomidis, Ç. Çatal, A. Kassahun   +2 more
semanticscholar   +1 more source

ACCURACY OF MILK YIELD ESTIMATION IN DAIRY CATTLE FROM MONTHLY RECORD BY REGRESSION METHOD [PDF]

, 2009
This experiment was conducted to estimate the actual milk yield and to compare the estimation accuracy of cumulative monthly record to actual milk yield by regression method.
Kurnianto, E. (E), Nuringtias, N. L. (N), Johari, S, Kuswahyuni, I S, Kurnianto, E, Nuringtias, N L, Johari, S. (S), Kuswahyuni, I. S. (I)   +7 more
core   +1 more source

Failure prediction for advanced crashworthiness of transportation vehicles. [PDF]

, 2004
During the past two decades explicit finite element crashworthiness codes have become an indispensable tool for the design of crash and passenger safety systems.
Lauro, F, Pyttel, T, Pickett, AK, Payen, Fabrice, Werner, H, Lauro, Franck, Christlein, Jens, Werner, Heinz, Payen, F, Petrinic, Nikica, Pickett, Anthony K., Petrinic, N, Christlein, J, Pyttel, Thomas   +13 more
core   +1 more source