Intelligent agriculture using Autonomous UAVs.

Mishra, Manoj Kumar, Bhuvana, J., Sharma, Anu, Rizvi, Nuzhat Fatima, Nikhil, Polke, Pramanik, Sabyaschi and Sherazi, Hafiz Husnain Raza ORCID logoORCID: https://orcid.org/0000-0001-8152-4065 (2024) Intelligent agriculture using Autonomous UAVs. In: Data driven mathematical modeling in agriculture. Routledge, Taylor & Francis. ISBN 9781003515883

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Abstract

The evolution of farming robots and their impact on the sector are all topics covered in this chapter, along with intelligent farming and its elements, robotic frameworks, and ML approaches. By minimizing the target’s time, it is intended to apply the gathering of autonomous unmanned aerial aircraft and UGVs that are communicated with one another. Utilizing particle swarm optimization, it sought to explore several strategies for the ideal number of stops. The best time to harvest the apples distributed to the stalls was calculated using deterministic, binary mixed (0-1) integer modeling and the &-means approach. With the help of this modeling, it is established in which UAV may be used to gather the apple and how to determine using 0-1 binary modeling if the air vehicle has successfully gathered the fruit or not. The unmanned UGV’s path was created using the 2-opt, closest neighbor, and nearest insertion approaches.

Item Type: Book Chapter or Section
Subjects: Construction and engineering
Depositing User: Hafiz Husnain Raza Sherazi
Date Deposited: 21 May 2025 14:10
Last Modified: 21 May 2025 14:15
URI: https://repository.uwl.ac.uk/id/eprint/13682

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