Forecasting yield by integrating agrarian factors and machine learning models: A survey
D Elavarasan, DR Vincent, V Sharma… - … and electronics in …, 2018 - Elsevier
The advancement in science and technology has led to a substantial amount of data from
various fields of agriculture to be incremented in the public domain. Hence a desideratum …
various fields of agriculture to be incremented in the public domain. Hence a desideratum …
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …
thereby improving plant breeding and management. Remote sensing techniques have …
[图书][B] What is machine learning?
I El Naqa, MJ Murphy - 2015 - Springer
Abstract Machine learning is an evolving branch of computational algorithms that are
designed to emulate human intelligence by learning from the surrounding environment …
designed to emulate human intelligence by learning from the surrounding environment …
Forest inventory with long range and high-speed personal laser scanning (PLS) and simultaneous localization and mapping (SLAM) technology
C Gollob, T Ritter, A Nothdurft - Remote Sensing, 2020 - mdpi.com
The use of new and modern sensors in forest inventory has become increasingly efficient.
Nevertheless, the majority of forest inventory data are still collected manually, as part of field …
Nevertheless, the majority of forest inventory data are still collected manually, as part of field …
See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning
Z Xi, C Hopkinson, SB Rood, DR Peddle - ISPRS Journal of …, 2020 - Elsevier
Determining tree species composition in natural forests is essential for effective forest
management. Species classification at the individual tree level requires fine-scale traits …
management. Species classification at the individual tree level requires fine-scale traits …
The shape of trees: Reimagining forest ecology in three dimensions with remote sensing
How ecologists think about above‐ground forest structure and dynamics is fundamentally
shaped by the data we can collect. This has historically been limited to what is possible with …
shaped by the data we can collect. This has historically been limited to what is possible with …
An approach for the automated extraction of road surface distress from a UAV-derived point cloud
The condition of the road surface should be inspected to increase the service life of the road
and to ensure safety and comfort. This study aims to automatically detect and measure road …
and to ensure safety and comfort. This study aims to automatically detect and measure road …
A dynamic clustering algorithm for lidar obstacle detection of autonomous driving system
F Gao, C Li, B Zhang - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Lidar is an important sensor of the autonomous driving system to detect environmental
obstacles, but the spatial distribution of its point cloud is non-uniform because of the …
obstacles, but the spatial distribution of its point cloud is non-uniform because of the …
A new strategy for individual tree detection and segmentation from leaf-on and leaf-off UAV-LiDAR point clouds based on automatic detection of seed points
Accurate and efficient estimation of forest volume or biomass is critical for carbon cycles,
forest management, and the timber industry. Individual tree detection and segmentation …
forest management, and the timber industry. Individual tree detection and segmentation …
3D point cloud instance segmentation of lettuce based on PartNet
Organ level instance segmentation (eg, individual leaves) based on computer vision
techniques is a key step in the measurement of plant phenotypes. Since plant organs …
techniques is a key step in the measurement of plant phenotypes. Since plant organs …