A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops
Recent advancements in the application of unmanned aerial vehicles (UAVs) based remote
sensing (RS) in precision agricultural practices have been critical in enhancing crop health …
sensing (RS) in precision agricultural practices have been critical in enhancing crop health …
Plant image recognition with deep learning: A review
Y Chen, Y Huang, Z Zhang, Z Wang, B Liu, C Liu… - … and Electronics in …, 2023 - Elsevier
Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …
years using deep learning, which has significantly exceeded previous methods. Deep …
[HTML][HTML] Detection of White Leaf Disease in Sugarcane Crops Using UAV-Derived RGB Imagery with Existing Deep Learning Models
White leaf disease (WLD) is an economically significant disease in the sugarcane industry.
This work applied remote sensing techniques based on unmanned aerial vehicles (UAVs) …
This work applied remote sensing techniques based on unmanned aerial vehicles (UAVs) …
Corn emergence uniformity estimation and mapping using UAV imagery and deep learning
Abstract Assessment of corn (Zea Mays L.) emergence uniformity is important to evaluate
crop yield potential. Previous studies have shown the potential of unmanned aerial vehicle …
crop yield potential. Previous studies have shown the potential of unmanned aerial vehicle …
[HTML][HTML] Detection and counting of corn plants in the presence of weeds with convolutional neural networks
Corn is an important part of the Mexican diet. The crop requires constant monitoring to
ensure production. For this, plant density is often used as an indicator of crop yield, since …
ensure production. For this, plant density is often used as an indicator of crop yield, since …
Phenological stage and vegetation index for predicting corn yield under rainfed environments
A Shrestha, R Bheemanahalli, A Adeli… - Frontiers in Plant …, 2023 - frontiersin.org
Uncrewed aerial systems (UASs) provide high temporal and spatial resolution information
for crop health monitoring and informed management decisions to improve yields. However …
for crop health monitoring and informed management decisions to improve yields. However …
Semantic segmentation and quantification of trees in an orchard using UAV orthophoto
Field inspection to determine tree counts in orchards is a common practice, requiring
significant time and labor. While imaging systems integrated with the Unmanned Aerial …
significant time and labor. While imaging systems integrated with the Unmanned Aerial …
Towards reducing chemical usage for weed control in agriculture using UAS imagery analysis and computer vision techniques
Currently, applying uniform distribution of chemical herbicide through a sprayer without
considering the spatial distribution information of crops and weeds is the most common …
considering the spatial distribution information of crops and weeds is the most common …
A survey of unmanned aerial vehicles and deep learning in precision agriculture
In the wake of significant advances in agronomy, biology, informatics, agricultural robots
(Agri-robots), and artificial intelligence, modern agriculture is transforming from labor …
(Agri-robots), and artificial intelligence, modern agriculture is transforming from labor …
Machine learning methods for precision agriculture with UAV imagery: a review
Because of the recent development in advanced sensors, data acquisition platforms, and
data analysis methods, unmanned aerial vehicle (UAV) or drone-based remote sensing has …
data analysis methods, unmanned aerial vehicle (UAV) or drone-based remote sensing has …