Integrated unmanned aerial vehicle-based LiDAR and RGB data for individual cattle growth monitoring in precision livestock farming.

Monitoring cattle growth on an individual level is essential in precision livestock farming. Our study utilises an Unmanned Aerial Vehicle (UAV)-based Light Detection and Ranging (LiDAR) system to monitor the growth of 96 semi-free-range beef cattle. We conducted drone campaigns with varying flight speeds and heights under different environmental conditions.

Research on the dissemination of celebrities' opinions based on speech act theory and potential category analysis.

With the increasingly prominent role of social media in the timeliness and sharing of information dissemination, more and more research has focused on how to further improve user stickiness through social media. However, there is little consideration of the impact of celebrities' views on user behavior in social media. The main goal of this paper is to study the influence of celebrity language style on user communication and opinions dissemination.

A Simple and Robust Spectral Index for Identifying Lodged Maize Using Gaofen1 Satellite Data.

Crop lodging is a major destructive factor for agricultural production. Developing a cost-efficient and accurate method to assess crop lodging is crucial for informing crop management decisions and reducing lodging losses. Satellite remote sensing can provide continuous data on a large scale; however, its utility in detecting lodging crops is limited due to the complexity of lodging events and the unavailability of high spatial and temporal resolution data.