Titlebook: IoT and AI in Agriculture; Self- sufficiency in Tofael Ahamed Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive li

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Pear Recognition System in an Orchard from 3D Stereo Camera Datasets Using Deep Learning Algorithmsomatic picking systems. Advancements in computer vision have brought the potential to train for different shapes and sizes of fruit using deep learning algorithms. In this research, a fruit recognition method for robotic systems was developed to identify pears in a complex orchard environment using

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Strategic Short Note: Intelligent Sensing and Robotic Picking of Kiwifruit in Orchard,nstable field labor availability and increased labor cost. Intelligent sensing and nondestructive picking of fruit are the two main key technologies for robotic harvesting. Deep learning technologies has been employed to train and detect kiwifruit, which achieved good performance by improving YOLOv3

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Vision-Based Leader Vehicle Trajectory Tracking for Multiple Agricultural Vehicles,omatically tracks the leader vehicle. With such a system, a human driver can control two vehicles efficiently in agricultural operations. The tracking system was developed for the leader and the follower vehicle, and control of the follower was performed using a camera vision system. A stable and ac

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Strategic Short Note: Comparing Soil Moisture Retrieval from Water Cloud Model and Neural Network Ual methods for determining soil moisture are difficult, time-consuming, and challenging in the rural estate areas. In this study, synthetic aperture radar (SAR), L-band images, and in situ observations were conducted at an oil palm plantation to employ water cloud model (WCM) inversion for retrievin

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