Results 11 to 20 of about 321,230 (311)

Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors [PDF]

, 2022
Wheat dominates the Australian grain production market and accounts for 10–15% of the world’s 100 million tonnes annual global wheat trade.
Deo, Ravinesh C., S. Janifer Jabin Jui, Ahmed, A. A. Masrur, Sharma, Ekta, Ravinesh C. Deo, Ali, Mumtaz, Thong Nguyen-Huy, Nguyen-Huy, Thong, Mumtaz Ali, Ekta Sharma, Jui, S. Janifer Jabin, A. A. Masrur Ahmed   +11 more
core   +1 more source

Using Artificial Neural Networks and Remotely Sensed Data to Evaluate the Relative Importance of Variables for Prediction of Within-Field Corn and Soybean Yields

Remote Sensing, 2020
Crop yield prediction prior to harvest is important for crop income and insurance projections, and for evaluating food security. Yet, modeling crop yield is challenging because of the complexity of the relationships between crop growth and predictor ...
Angela Kross, Evelyn Znoj, Daihany Callegari, Gurpreet Kaur, Mark Sunohara, David R. Lapen, Heather McNairn   +6 more
doaj   +1 more source

SlypNet: Spikelet-based yield prediction of wheat using advanced plant phenotyping and computer vision techniques

Frontiers in Plant Science, 2022
The application of computer vision in agriculture has already contributed immensely to restructuring the existing field practices starting from the sowing to the harvesting.
Arpan K. Maji, Sudeep Marwaha, Sudhir Kumar, Alka Arora, Viswanathan Chinnusamy, Shahnawazul Islam   +5 more
doaj   +1 more source

Prediction of Blueberry (Vaccinium corymbosum L.) Yield Based on Artificial Intelligence Methods

Agriculture, 2022
In this paper, we present a high-accuracy model for blueberry yield prediction, trained using structurally innovative data sets. Blueberries are blooming plants, valued for their antioxidant and anti-inflammatory properties.
Gniewko Niedbała, Jarosław Kurek, Bartosz Świderski, Tomasz Wojciechowski, Izabella Antoniuk, Krzysztof Bobran   +5 more
doaj   +1 more source

Prelayout interconnect yield prediction [PDF]

IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2003
Functional yield is a term used to describe the percentage of dies on a wafer that are not affected by catastrophic defects. Within the interconnect these defects are usually caused by particle contamination and are divided into bridging defects, which join adjacent wires and cuts, which result in broken wires.
Christie, P., Pineda de Gyvez, J.
openaire   +1 more source

Crop Yield Prediction

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2021
Cotton, popularly known as White Gold has been an important commercial crop of National significance due to the immense influence of its rural economy. Transfer of technology to identify the quality of fibre is gaining importance for crop yield is compared with Random forest, Support Vector Machine, Weather, K Nearest neighbor.
Pallavi Shankarrao Mahore, Dr. Aashish A. Bardekar   +1 more
openaire   +1 more source

Remote-Sensing Data and Deep-Learning Techniques in Crop Mapping and Yield Prediction: A Systematic Review [PDF]

, 2023
Reliable and timely crop-yield prediction and crop mapping are crucial for food security and decision making in the food industry and in agro-environmental management.
Pradhan, Biswajeet, Gite, Shilpa, Pradhan, B, Gite, S, Chakraborty, Subrata, Abhasha Joshi, Biswajeet Pradhan, Shilpa Gite, Chakraborty, S, Subrata Chakraborty, Joshi, Abhasha, Joshi, A   +11 more
core   +1 more source

Linking Remote Sensing with APSIM through Emulation and Bayesian Optimization to Improve Yield Prediction

Remote Sensing, 2022
The enormous increase in the volume of Earth Observations (EOs) has provided the scientific community with unprecedented temporal, spatial, and spectral information.
Hamze Dokoohaki, Teerath Rai, Marissa Kivi, Philip Lewis, Jose L. Gómez-Dans, Feng Yin   +5 more
doaj   +1 more source

An explainable Bi-LSTM model for winter wheat yield prediction. [PDF]

Front Plant Sci
Accurate, reliable and transparent crop yield prediction is crucial for informed decision-making by governments, farmers, and businesses regarding food security as well as agricultural business and management.
Joshi A, Pradhan B, Chakraborty S, Varatharajoo R, Alamri A, Gite S, Lee CW.   +6 more
europepmc   +3 more sources

A Novel Framework for Semiconductor Manufacturing Final Test Yield Classification Using Machine Learning Techniques

IEEE Access, 2020
Advanced data analysis tools and techniques are important for semiconductor companies to gain competitive advantage. In particular, yield prediction tools, which fully utilize production data, help to improve operational efficiency and reduce production ...
Dan Jiang, Weihua Lin, Nagarajan Raghavan   +2 more
doaj   +1 more source