A comparative study of deep learning and Internet of Things for precision agriculture

T Saranya, C Deisy, S Sridevi… - … Applications of Artificial …, 2023 - Elsevier
Precision farming is made possible by rapid advances in deep learning (DL) and the internet
of things (IoT) for agriculture, allowing farmers to upgrade their agriculture operations to …

Internet of things (IoT) and agricultural unmanned aerial vehicles (UAVs) in smart farming: A comprehensive review

AD Boursianis, MS Papadopoulou, P Diamantoulakis… - Internet of Things, 2022 - Elsevier
Abstract Internet of Things (IoT) and Unmanned Aerial Vehicles (UAVs) are two hot
technologies utilized in cultivation fields, which transform traditional farming practices into a …

A review on UAV-based applications for precision agriculture

DC Tsouros, S Bibi, PG Sarigiannidis - Information, 2019 - mdpi.com
Emerging technologies such as Internet of Things (IoT) can provide significant potential in
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …

Boost precision agriculture with unmanned aerial vehicle remote sensing and edge intelligence: A survey

J Liu, J Xiang, Y Jin, R Liu, J Yan, L Wang - Remote Sensing, 2021 - mdpi.com
In recent years unmanned aerial vehicles (UAVs) have emerged as a popular and cost-
effective technology to capture high spatial and temporal resolution remote sensing (RS) …

Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach

M Kerkech, A Hafiane, R Canals - Computers and Electronics in Agriculture, 2020 - Elsevier
One of the major goals of tomorrow's agriculture is to increase agricultural productivity but
above all the quality of production while significantly reducing the use of inputs. Meeting this …

Deep learning with unsupervised data labeling for weed detection in line crops in UAV images

MD Bah, A Hafiane, R Canals - Remote sensing, 2018 - mdpi.com
In recent years, weeds have been responsible for most agricultural yield losses. To deal with
this threat, farmers resort to spraying the fields uniformly with herbicides. This method not …

Application of smart techniques, internet of things and data mining for resource use efficient and sustainable crop production

A Ali, T Hussain, N Tantashutikun, N Hussain… - Agriculture, 2023 - mdpi.com
Technological advancements have led to an increased use of the internet of things (IoT) to
enhance the resource use efficiency, productivity, and cost-effectiveness of agricultural …

Comparison of object detection and patch-based classification deep learning models on mid-to late-season weed detection in UAV imagery

AN Veeranampalayam Sivakumar, J Li, S Scott… - Remote Sensing, 2020 - mdpi.com
Mid-to late-season weeds that escape from the routine early-season weed management
threaten agricultural production by creating a large number of seeds for several future …

Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images

M Kerkech, A Hafiane, R Canals - Computers and electronics in agriculture, 2018 - Elsevier
Detection of symptoms in grape leaves is a very important factor in preventing a serious
disease. An epidemic spread in vineyards has huge economic consequences and therefore …

Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review

MA Istiak, MMM Syeed, MS Hossain, MF Uddin… - Ecological …, 2023 - Elsevier
Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …