Titlebook: IoT and AI in Agriculture; Smart Automation Sys Tofael Ahamed Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive li

Opponent

Book 2024rientation of the book on how the deployment of outdoor and indoor sensors, AI/machine learning (ML), and IoT setups for sensing, tracking, collection, processing, and storing information over cloud platforms is nurturing and driving the pace of smart agriculture outdoor and indoors at this current

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glans-penis

Automatic Navigation of Pesticide Spraying Vehicle for Orchard Tree Trunk Detection, tree trunks, after that K-means divided the targets into left and right groups, and finally, random sample consensus (RANSAC) was calculated to get the left and right boundary lines, and the midline of the two boundary lines was the planning path for navigation. In field tests, the results show tha

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Driver Safety System for Agricultural Machinery Operations Using Deep Learning Algorithm,Considering that the safety system requires very high real-time performance, this research replaced all 3D convolutions of the model with depth-separable convolutions to obtain the contextual semantic information of the temporal layer and spatial dimensional information, and CGAP obtained the tempor

犬儒主义者

Navigation System for Autonomous Agricultural Vehicles for Indoor Farms,e process of SLAM. This research outcomes reported image local invariant features extracting algorithm, global localization, environment mapping based on the image frames, path planning, and path tracking. The ORB_SLAM was used, which is one of the SLAM repositories that oriented FAST and Rotated BR

Robust

发起

High-Throughput Plant Phenotyping Techniques in Controlled Environments,enges such as data management, standardization, and the extraction of meaningful biological insights are addressed. By highlighting the advantages and limitations of these techniques, a comprehensive overview is provided for researchers aiming to employ high-throughput phenotyping in controlled envi

Polydipsia

Digital Transformation of Horticultural Crop Production Systems Toward Sustainable Agricultural Pros and plant factories and are being integrated in different crop production operations, such as pest and disease monitoring and detection, nutrient and water management as well as in harvesting and postharvest operations. The digital transformation of horticultural crop production systems is excitin

Petechiae

Challenges in Orchard Weed Management: Perspectives on the Use of 3D Cameras and LiDAR to Develop aing obstacles. After that, the advantages and disadvantages of various perception sensors are detailed based on the literature. Finally, we introduce a weed control strategy for orchard weeding operations in terms of the navigation strategy and weed cutting mechanisms of small robots. The robotic we