• Aligned disparity map be efficiently generated using two-stage partition filtering.
• LaC-Gwc Net achieves precise full-resolution stereo matching.
• LaC-Gwc Net excels in matching thin obstacles in orchards.
• Increasing network ...

Full-resolution depth estimation within operational space of robotic arms and accurate localization of kiwifruits is very important for automated harvesting. Depth estimation is expected to be accurate and full-resolution while current depth ...

Microclimate mapping and monitoring are of fundamental importance to manage natural resources and optimize agricultural procedures. Precision agriculture is based on the management of spatial–temporal microclimatic variation in fields monitored ...

• High-resolution microclimate modeling by IoT systems and neural networks.
• AI exploits IoT data to optimize microclimate monitoring strategies.
• K-means machine learning clustering algorithm identifies robust temperature areas.
• ...

• The stereo visual-inertial odometry using point-line features can be used for precise positioning in orchards.
• The proposed line feature and the keyframe criteria strategy can enhance the positioning accuracy in orchards.
• Built an ...

The vision-based localization of orchard mobile robots is an indispensable component of orchard intelligent management, applicable to scenarios such as navigation and harvesting. Due to the rugged terrain and lack of texture features in orchard ...

The adoption of sensors and other technologies in modern agricultural systems has led to an increase in data availability for the optimization of crop management. Soil moisture (SM) forecasts, which heavily depend on the availability of SM sensor ...

• We evaluated SSA and EEMD for ML/DL soil-moisture (SM) forecasting.
• EEMD incorporation led to a 44% error reduction compared to no preprocessing.
• EEMD effectively isolated nonstructural components in the time series.
• EEMD ...

• Connecting IoT systems to cloud servers enables real-time use of AI algorithms and flexible ML model implementation.
• AI models can capture the nonlinear correlations among greenhouse variables.
• Even weak correlations between sensor ...

Sensor networks in greenhouses play a pivotal role in controlling the stability of environmental and chemical factors. The Internet of Things (IoT) has been widely adopted for monitoring various sensor networks in greenhouses. In the present ...

Current conventional agricultural practices have exacerbated the depletion of soil, loss of biodiversity, and intensified the substantial challenges of food security including monoculture dependence, resource intensiveness, access and ...

• Integration of Blockchain, IoT, & biosensors to ensure eco-friendly crop monitoring.
• Ensures transparent, traceable food certification and fosters trust.
• Effective anomaly handling and clear, accountable food certification.
• ...

• Considering free-space and diffraction losses, a fitness function was proposed.

With the development of Internet of Things (IoT) technology, modern agriculture is moving in the direction of 4.0. The Agricultural IoT is inseparable from wireless communication. However, in traditional agricultural IoT router and ...

• Next-generation bus system for on-board communication in agricultural vehicles.

ISO 11783 is a communication protocol for tractors and implements. It specifies a network of control functions connected with a CAN bus. The task controller is a control function that is used to control implements based on planned ...

• Cotton quality and process measurements could be used to optimize logistics, ginning, and textile processing.

Cotton requires multiple processing steps to convert the raw agricultural products into finished textiles. Genetic and environmental factors, crop management decisions, and processing practices interact to affect optimal end use, ...

• 5G provides low latency data exchange for technological applications in agri-food.

Autonomous tractors, spraying drones, robotics and fully autonomous farms are possible outcomes of the digital transformation trend in agriculture and food systems which is fostered by continuous technological advancement and the ...

Reliability is essential in Smart Farming supported by the IoT-Fog-Cloud continuum. Smart Farms’ unprotection may cause significant economic losses and low yields of production. This paper introduces an optimization model for providing ...

• An optimization model that minimizes the deployment costs of fog-based smart farms.

With the increasing availability of high-resolution satellite and drone images and the Internet of Things (IoT) has begun transforming remote sensing of agriculture by improving accessibility and frequency of updates. Modern IoT-based ...

• A new algorithmic approach to calculate surface dielectric permittivity.
• Development and design of a portable radiometer for proximal measurement of soil moisture.
• A practical experiment of the instrument prototype to verify the ...

The paper discusses a new approach to software algorithm for a microwave radiometer-based measurement system to determine the soil moisture content of the observed surface. The approach provides rapid processing of radio brightness temperature ...

• Monitoring scheme for individual growing-finishing pigs in pigsty.
• Monitoring ...

Recently, the Internet of Things (IoT) technologies have been applied to pig monitoring. Among these, electronic tags help identify individual growing-finishing pigs. Nevertheless, the tags are insufficient to achieve accurate and ...

• Wireless powered multi-access edge computing network is a future trend of Internet of Things in agriculture context.
• The convolutional operation-based approach is able to handle mutual inference between different wireless devices with ...

Prompt, uninterrupted, accurate and reliable agricultural information plays an important role for agricultural decision making, which requires stable and efficient data transmission frame. Wireless powered multi-access edge computing (MEC) has ...

• A new handheld open-source low-cost device for soil frequency domain reflectometry.

The performance of a handheld Vector Network Analyzer (VNA), the nanoVNA, a low-cost, open-source instrument, was evaluated. The instrument measures the complex permittivity of dielectric media from 1-port reflection parameters in the ...

• Smart system to enhance productivity for low-cost outdoor oyster mushroom farms.

This research work proposes the installation of a smart oyster mushroom farm combining sensory devices, a programmable logic controller (PLC), and wireless module. The smart wireless PLC encourages high-quality mushroom yield. The ...

• Development of nodes suited for UG2AG data transmission based on LoRa technology.

The development of Wireless Underground Sensor Networks (WUSNs) is currently receiving significant attention to collect data underground all along the year without impacting aboveground activities. Although the opportunities are ...

• Real-time monitoring of the environmental parameters (temperature, relative humidity, and light intensity) of young sago palms in mist chambers.

Environmental monitoring plays a significant role in the agriculture field as it manages the critical factors required for sustainable growth of plants, and thus enhancing the quality and productivity of the crops. In this paper, the ...

• A flexible wireless sensor-based and blockchain monitoring system was designed.

Live fish waterless transportation is a novel and cost-saving strategy, which can reduce the economic cost and wastewater pollution. However, it is still technology challenging to achieve intelligent monitoring and higher survival ...