[HTML][HTML] Recent advancements and challenges of AIoT application in smart agriculture: a review

HK Adli, MA Remli, KNS Wan Salihin Wong, NA Ismail… - Sensors, 2023 - mdpi.com
As the most popular technologies of the 21st century, artificial intelligence (AI) and the
internet of things (IoT) are the most effective paradigms that have played a vital role in …

[HTML][HTML] A spatial feature-enhanced attention neural network with high-order pooling representation for application in pest and disease recognition

J Kong, H Wang, C Yang, X Jin, M Zuo, X Zhang - Agriculture, 2022 - mdpi.com
With the development of advanced information and intelligence technologies, precision
agriculture has become an effective solution to monitor and prevent crop pests and …

[HTML][HTML] BMAE-Net: A data-driven weather prediction network for smart agriculture

JL Kong, XM Fan, XB Jin, TL Su, YT Bai, HJ Ma, M Zuo - Agronomy, 2023 - mdpi.com
Weather is an essential component of natural resources that affects agricultural production
and plays a decisive role in deciding the type of agricultural production, planting structure …

A Graph‐Related High‐Order Neural Network Architecture via Feature Aggregation Enhancement for Identification Application of Diseases and Pests

J Kong, C Yang, Y Xiao, S Lin, K Ma… - Computational …, 2022 - Wiley Online Library
Diseases and pests are essential threat factors that affect agricultural production, food
security supply, and ecological plant diversity. However, the accurate recognition of various …

A novel multi-innovation gradient support vector machine regression method

H Ma, F Ding, Y Wang - ISA transactions, 2022 - Elsevier
For the regression problem of support vector machine, the solution processes of the most
existing methods use offline datasets, which cannot be realized online. For this problem, this …

[HTML][HTML] An effective pyramid neural network based on graph-related attentions structure for fine-grained disease and pest identification in intelligent agriculture

S Lin, Y Xiu, J Kong, C Yang, C Zhao - Agriculture, 2023 - mdpi.com
In modern agriculture and environmental protection, effective identification of crop diseases
and pests is very important for intelligent management systems and mobile computing …

[Retracted] Blockchain‐Based Information Supervision Model for Rice Supply Chains

J Wang, X Zhang, J Xu, X Wang, H Li… - Computational …, 2022 - Wiley Online Library
Rice is a major food crop around the world, and its various quality and safety problems are
closely related to human health. As an important area of food safety research, the rice supply …

A variational bayesian inference-based En-Decoder framework for traffic flow prediction

J Kong, X Fan, X Jin, S Lin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate traffic flow prediction, a hotspot for intelligent transportation research, is the
prerequisite for traffic flow prediction for making travel plans. The speed of traffic flow can be …

Overall recursive least squares and overall stochastic gradient algorithms and their convergence for feedback nonlinear controlled autoregressive systems

C Wei, X Zhang, L Xu, F Ding… - International Journal of …, 2022 - Wiley Online Library
This article deals with the problems of the parameter estimation for feedback nonlinear
controlled autoregressive systems (ie, feedback nonlinear equation‐error systems). The …

Attention based long-term air temperature forecasting network: ALTF Net

A Nandi, A De, A Mallick, AI Middya, S Roy - Knowledge-Based Systems, 2022 - Elsevier
Air temperature is one of the most important meteorological parameters related with
atmospheric and environmental research. In this context, accurate prediction and forecasting …