A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction
An early and reliable estimation of crop yield is essential in quantitative and financial
evaluation at the field level for determining strategic plans in agricultural commodities for …
evaluation at the field level for determining strategic plans in agricultural commodities for …
[HTML][HTML] Leveraging on advanced remote sensing-and artificial intelligence-based technologies to manage palm oil plantation for current global scenario: A review
Advanced remote sensing technologies have undoubtedly revolutionized palm oil industry
management by bringing business and environmental benefits on a single platform. It is …
management by bringing business and environmental benefits on a single platform. It is …
A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery
Visual inspection has been a common practice to determine the number of plants in
orchards, which is a labor-intensive and time-consuming task. Deep learning algorithms …
orchards, which is a labor-intensive and time-consuming task. Deep learning algorithms …
A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery
Accurately mapping croplands is an important prerequisite for precision farming since it
assists in field management, yield-prediction, and environmental management. Crops are …
assists in field management, yield-prediction, and environmental management. Crops are …
Computer vision-based citrus tree detection in a cultivated environment using UAV imagery
Manual inspection has been a common application for counting the trees and plants in
orchards in precision agriculture processes. However, it is a time-consuming and, labour …
orchards in precision agriculture processes. However, it is a time-consuming and, labour …
[HTML][HTML] Transformer for tree counting in aerial images
The number of trees and their spatial distribution are key information for forest management.
In recent years, deep learning-based approaches have been proposed and shown …
In recent years, deep learning-based approaches have been proposed and shown …
[PDF][PDF] Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting.
Class-agnostic counting has recently emerged as a more practical counting task, which aims
to predict the number and distribution of any exemplar objects, instead of counting specific …
to predict the number and distribution of any exemplar objects, instead of counting specific …
Oil palm tree counting in drone images
When the images are captured by drones, the effect of oblique angles, distance variations
and open environment are the main challenges for successful palm tree detection. This …
and open environment are the main challenges for successful palm tree detection. This …
An hierarchical approach for automatic segmentation of leaf images with similar background using kernel smoothing based Gaussian process regression
ES Gopi - Ecological Informatics, 2021 - Elsevier
Real-time automation of leaf image segmentation is a difficult task when there are similar
leaves in the background, particularly in leaf images captured in the cultivation fields. These …
leaves in the background, particularly in leaf images captured in the cultivation fields. These …
Ananas comosus crown image thresholding and crop counting using a colour space transformation scheme
WNS Rahimi, MSAM Ali - … Computing Electronics and …, 2020 - telkomnika.uad.ac.id
The implementation of unmanned aerial vehicle (UAV) technology having image processing
capabilities provides an alternative way to observe pineapple crowns captured from aerial …
capabilities provides an alternative way to observe pineapple crowns captured from aerial …