Design of Unmanned Aerial Systems for Precision Agriculture using Machine Learning Techniques

Z Zhang - 2024 - rave.ohiolink.edu
Precision Agriculture (PA) a new type of agricultural concept that fully integrates information
technology and agricultural production. While supported by information technology, PA is …

Optimized Classification in Camera Trap Images: An Approach with Smart Camera Traps, Machine Learning, and Human Inference

S Balasubramaniam - 2024 - rave.ohiolink.edu
Motion-activated cameras, commonly known as camera traps, play a crucial role in wildlife
monitoring, biodiversity conservation, and basic ecological science, capturing a diverse …

Autonomous UAV Swarms: Distributed Microservices, Heterogeneous Swarms, and Zoom Maneuvers

K Angueira Irizarry - 2024 - kb.osu.edu
Over the last few years, precision agriculture has greatly benefited from advancements in
Unmanned Aerial Vehicles (UAVs). UAVs used in crop map ping allow farmers and …

[PDF][PDF] Integrating Biological Data into Autonomous Remote Sensing Systems for In Situ Imageomics: A Case Study for Kenyan Animal Behavior Sensing with …

JM Kline, M Kholiavchenko, O Brookes, T Berger-Wolf… - 2024 - jennamk14.github.io
In situ imageomics leverages machine learning techniques to infer biological traits from
images collected in the field, or in situ, to study individuals organisms, groups of wildlife, and …

[PDF][PDF] Herd Monitoring with Autonomous Drones: a Decentralized k-Coverage-inspired Approach

D Pianini, DJ Kline, D Grushchak - amslaurea.unibo.it
This thesis explores the innovative intersection of autonomous drones with wildlife
monitoring, specifically focusing on herd monitoring through a decentralized kcoverage …