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[HTML][HTML] A review of robots, perception, and tasks in precision agriculture
This review reports the recent state of the art in the field of mobile robots applied to precision
agriculture. After a brief introduction to precision agriculture, the review focuses on two main …
agriculture. After a brief introduction to precision agriculture, the review focuses on two main …
Computer vision and machine learning applied in the mushroom industry: A critical review
Background Mushrooms are popular food items containing numerous vitamins, dietary
fibers, and a large number of proteins. As a result, mushrooms can increase the body's …
fibers, and a large number of proteins. As a result, mushrooms can increase the body's …
[HTML][HTML] Proximal sensing for geometric characterization of vines: A review of the latest advances
H Moreno, D Andújar - Computers and Electronics in Agriculture, 2023 - Elsevier
Several variables, including a rising human population, varying weather patterns in the
context of ongoing climate change, and the rapid worldwide spread of epidemics, all …
context of ongoing climate change, and the rapid worldwide spread of epidemics, all …
On-tree mango fruit size estimation using RGB-D images
In-field mango fruit sizing is useful for estimation of fruit maturation and size distribution,
informing the decision to harvest, harvest resourcing (eg, tray insert sizes), and marketing. In …
informing the decision to harvest, harvest resourcing (eg, tray insert sizes), and marketing. In …
Develo** a machine learning based cotton yield estimation framework using multi-temporal UAS data
In this research a machine learning framework was developed for cotton yield estimation
using multi-temporal remote sensing data collected from unmanned aircraft system (UAS) …
using multi-temporal remote sensing data collected from unmanned aircraft system (UAS) …
In-field high throughput grapevine phenoty** with a consumer-grade depth camera
Plant phenoty**, that is, the quantitative assessment of plant traits including growth,
morphology, physiology, and yield, is a critical aspect towards efficient and effective crop …
morphology, physiology, and yield, is a critical aspect towards efficient and effective crop …
Stereo-vision-based crop height estimation for agricultural robots
The objective of this study was to develop a machine-vision-based height measurement
system for an autonomous cultivation robot. The system was developed with a simple stereo …
system for an autonomous cultivation robot. The system was developed with a simple stereo …
A survey of ranging and imaging techniques for precision agriculture phenoty**
Agricultural production must double by 2050 in order to meet the expected food demand due
to population growth. Precision agriculture is the key to improve productivity and efficiency in …
to population growth. Precision agriculture is the key to improve productivity and efficiency in …
Growth monitoring of greenhouse lettuce based on a convolutional neural network
L Zhang, Z Xu, D Xu, J Ma, Y Chen, Z Fu - Horticulture research, 2020 - academic.oup.com
Growth-related traits, such as aboveground biomass and leaf area, are critical indicators to
characterize the growth of greenhouse lettuce. Currently, nondestructive methods for …
characterize the growth of greenhouse lettuce. Currently, nondestructive methods for …
Field-based high-throughput phenoty** for maize plant using 3D LiDAR point cloud generated with a “Phenomobile”
With the rapid rising of global population, the demand for improving breeding techniques to
greatly increase the worldwide crop production has become more and more urgent. Most …
greatly increase the worldwide crop production has become more and more urgent. Most …