科研产出
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1Joint Power and Channel Optimization of Agricultural Wireless Sensor Networks Based on Hybrid Deep Reinforcement Learning
作者：
机构：
来源：PROCESSES
关键词： power control; channel allocation; DDPG; mixed variable
年份：2021
2Agricultural Information Service Quality Evaluation Algorithm Based on Genetic Algorithm, BP Neural Network and Multiple Regressions
作者：
机构：
来源：ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING II, PTS 1-3
关键词： agricultural information service quality evaluation algorithm BP neural network multiple regressions genetic algorithms
年份：2013
3The Study of Farmers' Professional Cooperatives Information Service System
作者：
机构：
来源：2013 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND APPLICATIONS (CSA)
关键词： Professional Farmers Cooperatives information system XML Web Service
年份：2013
4EFDet: An efficient detection method for cucumber disease under natural complex environments
作者：
机构：
来源：COMPUTERS AND ELECTRONICS IN AGRICULTURE
关键词： Precision agriculture; Cucumber disease leaf; Disease detection; Complex environment; ASFF; EfficientNet
年份：2021
5An Efficient Opportunistic Routing Protocol with Low Latency for Farm Wireless Sensor Networks
作者：
机构：
来源：ELECTRONICS
关键词： farm wireless sensor networks; opportunity routing; link interaction; algebraic connectivity; priority queue; backoff strategy
年份：2022
6A Residual LSTM and Seq2Seq Neural Network Based on GPT for Chinese Rice-Related Question and Answer System
作者：
机构：
来源：AGRICULTURE-BASEL
关键词： rice-related question and answer; Residual Long Short-Term Memory; question-and-answer communities; seq2seq
年份：2022
7RAPID RECOGNITION OF TOMATO'S DISEASE STAGES BASED ON THE KERNEL MUTUAL SUBSPACE METHOD
作者：
机构：
来源：APPLIED ENGINEERING IN AGRICULTURE
关键词： Color and textural feature; High dimensional feature space; Kernel mutual subspace method; Tomato's disease stages recognition
年份：2021
8VEG-MMKG: Multimodal knowledge graph construction for vegetables based on pre-trained model extraction
作者：
机构：
来源：COMPUTERS AND ELECTRONICS IN AGRICULTURE
关键词： Knowledge graph; Multimodal fusion; Image-text pairs; Pre-trained model
年份：2024
9Chinese named entity recognition for agricultural diseases based on entity-related visual prompts injection
作者：
机构：
来源：COMPUTERS AND ELECTRONICS IN AGRICULTURE
关键词： Agricultural diseases; Visual prompts; Multimodal named entity recognition; Pre-trained language model
年份：2024
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