The world population growth is increasing the demand for food production. Furthermore, the
reduction of the workforce in rural areas and the increase in production costs are challenges …

Abstract Purpose The Internet of Things (IoT) is a network of devices for communicating
machine to machine (M2M) based on wired and wireless Internet. IoT in agriculture is a …

Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …

Prediction based on time series has a wide range of applications. Due to the complex
nonlinear and random distribution of time series data, the performance of learning prediction …

Due to the nonlinear modeling capabilities, deep learning prediction networks have become
widely used for smart agriculture. Because the sensing data has noise and complex …

This article considers the parameter estimation problems of block‐oriented nonlinear
systems. By using the key term separation, the system output is represented as a linear …

State estimation is widely used in various automated systems, including IoT systems,
unmanned systems, robots, etc. In traditional state estimation, measurement data are …

Abstract Internet of Things (IoT) technology plays an important role in advancing the
transformation of labor-intensive traditional agriculture into data-driven smart farming by …

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 …

The agriculture sector is one of the backbones of many countries' economies. Its processes
have been changing to enable technology adoption to increase productivity, quality, and …