[HTML][HTML] A review of robots, perception, and tasks in precision agriculture

A Botta, P Cavallone, L Baglieri, G Colucci… - applied …, 2022 - mdpi.com
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 …

Computer vision and machine learning applied in the mushroom industry: A critical review

H Yin, W Yi, D Hu - Computers and electronics in agriculture, 2022 - Elsevier
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 …

[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 …

On-tree mango fruit size estimation using RGB-D images

Z Wang, KB Walsh, B Verma - Sensors, 2017 - mdpi.com
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 …

Develo** a machine learning based cotton yield estimation framework using multi-temporal UAS data

A Ashapure, J Jung, A Chang, S Oh, J Yeom… - ISPRS Journal of …, 2020 - Elsevier
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) …

In-field high throughput grapevine phenoty** with a consumer-grade depth camera

A Milella, R Marani, A Petitti, G Reina - Computers and electronics in …, 2019 - Elsevier
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 …

Stereo-vision-based crop height estimation for agricultural robots

WS Kim, DH Lee, YJ Kim, T Kim, WS Lee… - … and Electronics in …, 2021 - Elsevier
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 …

A survey of ranging and imaging techniques for precision agriculture phenoty**

FY Narvaez, G Reina, M Torres-Torriti… - IEEE/ASME …, 2017 - ieeexplore.ieee.org
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 …

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 …

Field-based high-throughput phenoty** for maize plant using 3D LiDAR point cloud generated with a “Phenomobile”

Q Qiu, N Sun, H Bai, N Wang, Z Fan, Y Wang… - Frontiers in plant …, 2019 - frontiersin.org
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 …