Cyber-agricultural systems for crop breeding and sustainable production
The cyber-agricultural system (CAS) represents an overarching framework of agriculture that
leverages recent advances in ubiquitous sensing, artificial intelligence, smart actuators, and …
leverages recent advances in ubiquitous sensing, artificial intelligence, smart actuators, and …
Crop genomic selection with deep learning and environmental data: A survey
S Jubair, M Domaratzki - Frontiers in Artificial Intelligence, 2023 - frontiersin.org
Machine learning techniques for crop genomic selections, especially for single-environment
plants, are well-developed. These machine learning models, which use dense genome …
plants, are well-developed. These machine learning models, which use dense genome …
Integrating multi-modal remote sensing, deep learning, and attention mechanisms for yield prediction in plant breeding experiments
C Aviles Toledo, MM Crawford… - Frontiers in Plant Science, 2024 - frontiersin.org
In both plant breeding and crop management, interpretability plays a crucial role in instilling
trust in AI-driven approaches and enabling the provision of actionable insights. The primary …
trust in AI-driven approaches and enabling the provision of actionable insights. The primary …
Rice yield prediction based on LSTM and GRU
Y Qiu - … on Computer Graphics, Artificial Intelligence, and Data …, 2023 - spiedigitallibrary.org
Rice yield prediction is a vital problem in the national agriculture and economy. The
development of deep learning overcomes the obstacles of traditional machine learning and …
development of deep learning overcomes the obstacles of traditional machine learning and …