End-to-end precision agriculture UAV-based functionalities tailored to field characteristics

EK Raptis, M Krestenitis, K Egglezos, O Kypris… - Journal of Intelligent & …, 2023 - Springer
This paper presents a novel, low-cost, user-friendly Precision Agriculture platform that
attempts to alleviate the drawbacks of limited battery life by carefully designing missions …

[PDF][PDF] A review on current and emerging application possibilities for unmanned aerial vehicles

IH Beloev - Acta technologica agriculturae, 2016 - sciendo.com
This paper presents a review on current and emerging application possibilities for
unmanned aerial vehicles (UAVs). The introduction section of the paper briefly describes …

A review of unmanned aerial vehicle low-altitude remote sensing (UAV-LARS) use in agricultural monitoring in China

H Zhang, L Wang, T Tian, J Yin - Remote Sensing, 2021 - mdpi.com
Precision agriculture relies on the rapid acquisition and analysis of agricultural information.
An emerging method of agricultural monitoring is unmanned aerial vehicle low-altitude …

Orchard management with small unmanned aerial vehicles: A survey of sensing and analysis approaches

C Zhang, J Valente, L Kooistra, L Guo, W Wang - Precision agriculture, 2021 - Springer
Advances in sensor miniaturization are increasing the global popularity of unmanned aerial
vehicle (UAV)-based remote sensing applications in many domains of agriculture. Fruit …

Deep neural networks and transfer learning for food crop identification in UAV images

R Chew, J Rineer, R Beach, M O'Neil, N Ujeneza… - Drones, 2020 - mdpi.com
Accurate projections of seasonal agricultural output are essential for improving food security.
However, the collection of agricultural information through seasonal agricultural surveys is …

A review on drone-based data solutions for cereal crops

US Panday, AK Pratihast, J Aryal, RB Kayastha - Drones, 2020 - mdpi.com
Food security is a longstanding global issue over the last few centuries. Eradicating hunger
and all forms of malnutrition by 2030 is still a key challenge. The COVID-19 pandemic has …

An automatic method for weed mapping in oat fields based on UAV imagery

M Gašparović, M Zrinjski, Đ Barković… - … and electronics in …, 2020 - Elsevier
The accurate detection and treatment of weeds in agricultural fields is a necessary
procedure for managing crop yield and avoiding herbicide pollution. With the emergence of …

[HTML][HTML] Computer vision technology in agricultural automation—A review

H Tian, T Wang, Y Liu, X Qiao, Y Li - Information Processing in Agriculture, 2020 - Elsevier
Computer vision is a field that involves making a machine “see”. This technology uses a
camera and computer instead of the human eye to identify, track and measure targets for …

Optimized deep learning model as a basis for fast UAV mapping of weed species in winter wheat crops

T de Camargo, M Schirrmann, N Landwehr… - Remote Sensing, 2021 - mdpi.com
Weed maps should be available quickly, reliably, and with high detail to be useful for site-
specific management in crop protection and to promote more sustainable agriculture by …

Unmanned aerial vehicle (UAV) imaging and machine learning applications for plant phenotyping

FT Teshome, HK Bayabil, G Hoogenboom… - … and Electronics in …, 2023 - Elsevier
The availability of timely and accurate information about plant conditions is critical for
making informed decisions for maintaining or improving agricultural productivity. However …