Titlebook: Drone Data Analytics in Aerial Computing; P. Karthikeyan,Sathish Kumar,V. Anbarasu Book 2023 The Editor(s) (if applicable) and The Author(

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Environmental Drones for Autonomous Air Pollution Investigation, Detection, and Remediation, living organisms are affected by air contamination. This chapter contributes towards the tracking and monitoring of emission rate/air pollutants (PPM) in air through remote drone control system. The parameters which shall be measured include particulate matters, (PM) 10, PM2, Ozone (O.), Sulphur Di

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Detection of Pathogens in Plant Leaves Using Drone-Based Deep Learning Approach,ur proposed approach focuses on an EfficientNetV2-B4 with extra dense layers. An end-to-end training architecture is used by the customized EfficientNetV2-B4 to calculate the deep key points and classify them in the corresponding classes. A standard dataset, specifically the Plant Village data from

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Artificial Intelligence Based Drones for Plant Disease Detection,arming may enter a new era thanks to drone technology. Pests and plant diseases significantly influence the yield and quality of plants. The proposed approach uses a drone to monitor crop health, identify plant diseases, and spray pesticides. Crop health monitoring is done by using sensors to contin

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Machine Vision in UAV Data Analytics for Precision Agriculture,and defect positioning. The proposed model uses the decision tree algorithm to classify crop coverage, crop count, and segregate based on GPS Coordinates. The proposed model would also be used for quantifying the number of plants in a specific location using machine vision. Future work would outline

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Smart IoT Drone-Rover for Sustainable Crop Prediction Based on Mutual Subset Feature Selection Usinmake smart agriculture. The preprocessing of raw data into a machine learning-friendly dataset that can be easily computed is the first step in ensuring ML models to perform non-relational feature selection. To reduce redundancy and make optimized deep learning models which help to predict accurate

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An In-Sight Analysis of Cyber-Security Protocols and the Vulnerabilities in the Drone Communicationthe accessibility of communication channels. UAVs are susceptible to various attacks, including availability, confidentiality, integrity attacks, likely false data injection, GPS spoofing, jamming, and fuzzing. Robust security protocols should be implemented to protect UAVs from attackers to mitigat