Applications of deep learning in precision weed management: A review
Deep Learning (DL) has been described as one of the key subfields of Artificial Intelligence
(AI) that is transforming weed detection for site-specific weed management (SSWM). In the …
(AI) that is transforming weed detection for site-specific weed management (SSWM). In the …
[HTML][HTML] Computer vision in smart agriculture and precision farming: Techniques and applications
The transformation of age-old farming practices through the integration of digitization and
automation has sparked a revolution in agriculture that is driven by cutting-edge computer …
automation has sparked a revolution in agriculture that is driven by cutting-edge computer …
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) …
effective technology to capture high spatial and temporal resolution remote sensing (RS) …
Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer
Controlling weed infestation through chemicals (herbicides & pesticides) is essential for crop
yield. However, excessive use of these chemicals has caused severe agronomic and …
yield. However, excessive use of these chemicals has caused severe agronomic and …
A bibliometric review of the use of unmanned aerial vehicles in precision agriculture and precision viticulture for sensing applications
This review focuses on the use of unmanned aerial vehicles (UAVs) in precision agriculture,
and specifically, in precision viticulture (PV), and is intended to present a bibliometric …
and specifically, in precision viticulture (PV), and is intended to present a bibliometric …
A novel semi-supervised framework for UAV based crop/weed classification
Excessive use of agrochemicals for weed controlling infestation has serious agronomic and
environmental repercussions associated. An appropriate amount of pesticide/chemicals is …
environmental repercussions associated. An appropriate amount of pesticide/chemicals is …
AI-based UAV navigation framework with digital twin technology for mobile target visitation
Abstract Unmanned Air Vehicles (UAVs), ie drones, have become a key enabler technology
of many reconnaissance applications in different fields, such as military, maritime, and …
of many reconnaissance applications in different fields, such as military, maritime, and …
Uav swarms in smart agriculture: Experiences and opportunities
Smart agriculture benefits from unmanned aerial vehicles (UAV), and in-field sensors to
collect data used to make responsible crop management decisions which sustainably …
collect data used to make responsible crop management decisions which sustainably …
Optimal Squeeze Net with Deep Neural Network-Based Arial Image Classification Model in Unmanned Aerial Vehicles.
In present times, unmanned aerial vehicles (UAVs) are widely employed in several real time
applications due to their autonomous, inexpensive, and compact nature. Aerial image …
applications due to their autonomous, inexpensive, and compact nature. Aerial image …
[HTML][HTML] Comparative studies of knapsack, boom, and drone sprayers for weed management in soybean (Glycine max L.)
C Hiremath, N Khatri, MP Jagtap - Environmental Research, 2024 - Elsevier
Abstract The study titled," Comparative Evaluation of Knapsack, Boom, and Drone Sprayers
for Weed Management in Soybean (Glycine max L.)" was carried out during the Kharif …
for Weed Management in Soybean (Glycine max L.)" was carried out during the Kharif …