Non-destructive and cost-effective 3D plant growth monitoring system in outdoor conditions

2020 ◽  
Vol 79 (47-48) ◽  
pp. 34955-34971 ◽  
Author(s):  
Abhipray Paturkar ◽  
Gourab Sen Gupta ◽  
Donald Bailey
Keyword(s):  
Plant Growth ◽  
Monitoring System ◽  
Cost Effective ◽  
Growth Monitoring ◽  
Non Destructive

scholarly journals Digital image processing methods for estimating leaf area of cucumber plants

2022 ◽  
Vol 25 (1) ◽  
pp. 317
Author(s):  
Uoc Quang Ngo ◽  
Duong Tri Ngo ◽  
Hoc Thai Nguyen ◽  
Thanh Dang Bui
Keyword(s):  
Plant Growth ◽  
Leaf Area ◽  
Negative Impact ◽  
High Accuracy ◽  
Growth Monitoring ◽  
Accuracy Rate ◽  
Outdoor Scenes ◽  
Artificial Intelligence Technology ◽  
Rgb Images ◽  
Non Destructive

Increasingly <span>emerging technologies in agriculture such as computer vision, artificial intelligence technology, not only make it possible to increase production. To minimize the negative impact on climate and the environment but also to conserve resources. A key task of these technologies is to monitor the growth of plants online with a high accuracy rate and in non-destructive manners. It is known that leaf area (LA) is one of the most important growth indexes in plant growth monitoring system. Unfortunately, to estimate the LA in natural outdoor scenes (the presence of occlusion or overlap area) with a high accuracy rate is not easy and it still remains a big challenge in eco-physiological studies. In this paper, two accurate and non-destructive approaches for estimating the LA were proposed with top-view and side-view images, respectively. The proposed approaches successfully extract the skeleton of cucumber plants in red, green, and blue (RGB) images and estimate the LA of cucumber plants with high precision. The results were validated by comparing with manual measurements. The experimental results of our proposed algorithms achieve 97.64% accuracy in leaf segmentation, and the relative error in LA estimation varies from 3.76% to 13.00%, which could meet the requirements of plant growth monitoring </span>systems.

scholarly journals Automated Roof Top Plant Growth Monitoring System in Urban Areas

2019 ◽  
Vol 9 (6) ◽  
pp. 14-23
Author(s):  
Sujata Bhavikatti ◽  
◽  
Sadanand P ◽  
Mukta Patil ◽  
Vibhuti Pradeep ◽  
...  
Keyword(s):  
Plant Growth ◽  
Monitoring System ◽  
Urban Areas ◽  
Growth Monitoring

Ab Initio Two-sites Occupancy and Broadband Near-Infrared Emission of Cr3+ in Li2MgZrO4

2021 ◽  
Author(s):  
Xue Zhou ◽  
Jinmeng Xiang ◽  
Jiming Zheng ◽  
Xiaoqi Zhao ◽  
Hao Suo ◽  
...  
Keyword(s):  
Plant Growth ◽  
Ab Initio ◽  
Light Source ◽  
Near Infrared ◽  
Broad Band ◽  
Infrared Emission ◽  
Night Vision ◽  
Light Emitting ◽  
Non Destructive ◽  
Near Infrared Emission

Near-infrared (NIR) phosphor-converted light-emitting diodes (pc-LEDs) light source have great potential in non-destructive detection, promoting plant growth and night vision applications, while the discovery of a broad-band NIR phosphor still...

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