Digital image processing methods for estimating leaf area of cucumber plants

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.

Download Full-text

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

Multimedia Tools and Applications ◽

10.1007/s11042-020-08854-1 ◽

2020 ◽

Vol 79 (47-48) ◽

pp. 34955-34971 ◽

Cited By ~ 3

Author(s):

Abhipray Paturkar ◽

Gourab Sen Gupta ◽

Donald Bailey

Keyword(s):

Plant Growth ◽

Monitoring System ◽

Cost Effective ◽

Growth Monitoring ◽

Non Destructive

Download Full-text

Non-destructive measurement for estimating leaf area of Bellis perennis

Rona Teknik Pertanian ◽

10.17969/rtp.v10i1.7456 ◽

2017 ◽

Vol 10 (1) ◽

pp. 58-64

Author(s):

Indera Sakti Nasution

Keyword(s):

Image Processing ◽

Plant Growth ◽

Leaf Area ◽

Color Space ◽

Morphological Operations ◽

Connected Component ◽

Kinect Camera ◽

Growth Estimation ◽

Destructive Measurement ◽

Non Destructive

Non-destructive measurement of approaches of modeling can be very convenient and useful for plant growth estimation. This study, digital image processing was evaluated as a non-destructive technique to estimate leaf area of Bellis perennis. The plant samples were growing in the greenhouse and the images were taken every day using Kinect camera. The proposed method used combination of L*a*b* color space, Otsu’s thresholding, morphological operations and connected component analysis to estimate leaf area of Bellis perennis. L* channel was used to distinguish the leaves and background. Calibration area uses a pot of known area in each image as a scale to calibrate the leaves area. The results show that the algorithm is able to separate leaf pixels from soil or pot backgrounds, and also allow it to be implemented in greenhouse automatically. This algorithm can be used for other plants in assumption that there is not too much leaf overlapped during measurement.

Download Full-text

Identifikasi Nilai Konstanta Bentuk Daun untuk Pengukuran Luas Daun Metode Panjang Kali Lebar pada Tanaman Hortikultura di Tanah Gambut

Anterior Jurnal ◽

10.33084/anterior.v14i2.178 ◽

2015 ◽

Vol 14 (2) ◽

pp. 139-146 ◽

Cited By ~ 2

Author(s):

Djoko Eko Hadi Susilo

Keyword(s):

Plant Growth ◽

Leaf Area ◽

Low Cost ◽

Peat Soil ◽

Leaf Shape ◽

Area Measurement ◽

Leaf Lamina ◽

Graph Paper ◽

Non Destructive ◽

Destructive Methods

The purpose of this research is to know and identification constanta value of leaf shape for leaf area measurement using length cross width of leaf of horticulture plant in peat soil. This research was conducted from February to May 2015 in Palangka Raya City, Central Kalimantan. This research implemented by observed of leaf from 32 species of horticulture plant in peat soil. In every species, was observed 30 leaf (lamina). Measuring leaf area absolutelly using on grid paper or millimeter graph paper, and than measuring ratio if leaf area is can finding using length cross width of leaf. Result of this research, showed that 32 species of horticulture plant in peat soil have regularity of leaf shape and can identified of constanta value for leaf area measurement using length cross width of leaf.Leaf area measurement using length cross width of leaf is alternative technique because easier (simple), quick (fast), low cost, and accurate to plant growth analysis for non-destructive methods. Leaf area measurement not explain plant growth only, but many purposes was can resulted from it. This research suggested to identification of constanta value of leaf shape for another species horticulture plant in peat soil cultivation.

Download Full-text

Non-destructive measurement of leaf area and leaf number of hydroponic pak-choy plants (Brassica rapa)

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/644/1/012004 ◽

2021 ◽

Vol 644 (1) ◽

pp. 012004

Author(s):

I S Nasution ◽

P Satriyo ◽

Ichwana ◽

S Yolanda ◽

A Alma

Keyword(s):

Leaf Area ◽

Brassica Rapa ◽

Leaf Number ◽

Destructive Measurement ◽

Non Destructive

Download Full-text

A study on encoding-based oracle bone script recognition

Journal of Chinese Writing Systems ◽

10.1177/2513850220952890 ◽

2020 ◽

Vol 4 (4) ◽

pp. 281-290

Author(s):

Tingzhu Chen ◽

Yaoyao Qian ◽

Jingyu Pei ◽

Shaoteng Wu ◽

Jiang Wu ◽

...

Keyword(s):

General Public ◽

Expert Knowledge ◽

Recognition Accuracy ◽

Fundamental Problem ◽

High Accuracy ◽

Time Range ◽

Accuracy Rate ◽

Script Recognition ◽

Processing Techniques ◽

Accuracy Speed

Oracle bone script recognition (OBSR) has been a fundamental problem in research on oracle bone scripts for decades. Despite being intensively studied, existing OBSR methods are still subject to limitations regarding recognition accuracy, speed and robustness. Furthermore, the dependency of these methods on expert knowledge hinders the adoption of OBSR systems by the general public and also discourages social outreach of research outputs. Addressing these issues, this study proposes an encoding-based OBSR system that applies image pre-processing techniques to encode oracle images into small matrices and recognize oracle characters in the encoding space. We tested our methods on a collection of oracle bones from the Yin Ruins in XiaoTun village, and achieved a high accuracy rate of 99% within a time range of milliseconds.

Download Full-text

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

Materials Chemistry Frontiers ◽

10.1039/d1qm00431j ◽

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...

Download Full-text

Leaf area index estimation using top-of-canopy airborne RGB images

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2020.102282 ◽

2021 ◽

Vol 96 ◽

pp. 102282

Author(s):

Rahul Raj ◽

Jeffrey P. Walker ◽

Rohit Pingale ◽

Rohit Nandan ◽

Balaji Naik ◽

...

Keyword(s):

Leaf Area Index ◽

Leaf Area ◽

Area Index ◽

Rgb Images ◽

Index Estimation

Download Full-text

Rock-Solubilizing Microbial Inoculums Have Enormous Potential as Ecological Remediation Agents to Promote Plant Growth

Forests ◽

10.3390/f12030357 ◽

2021 ◽

Vol 12 (3) ◽

pp. 357

Author(s):

Zhaohui Jia ◽

Miaojing Meng ◽

Chong Li ◽

Bo Zhang ◽

Lu Zhai ◽

...

Keyword(s):

Plant Growth ◽

Leaf Area ◽

Ecological Restoration ◽

Root Nodules ◽

Robinia Pseudoacacia ◽

Growth Index ◽

Nodule Formation ◽

Bare Rock ◽

Mining Sites ◽

Robinia Pseudoacacia L

Anthropogenic overexploitation poses significant threats to the ecosystems that surround mining sites, which also have tremendous negative impacts on human health and society safety. The technological capacity of the ecological restoration of mine sites is imminent, however, it remains a challenge to sustain the green restorative effects of ecological reconstruction. As a promising and environmentally friendly method, the use of microbial technologies to improve existing ecological restoration strategies have shown to be effective. Nonetheless, research into the mechanisms and influences of rock-solubilizing microbial inoculums on plant growth is negligible and the lack of this knowledge inhibits the broader application of this technology. We compared the effects of rock-solubilizing microbial inoculums on two plant species. The results revealed that rock-solubilizing microbial inoculums significantly increased the number of nodules and the total nodule volume of Robinia pseudoacacia L. but not of Lespedeza bicolor Turcz. The reason of the opposite reactions is possibly because the growth of R. pseudoacacia was significantly correlated with nodule formation, whereas L. bicolor’s growth index was more closely related to soil characteristics and if soil nitrogen content was sufficient to support its growth. Further, we found that soil sucrase activity contributed the most to the height of R. pseudoacacia, and the total volume of root nodules contributed most to its ground diameter and leaf area. Differently, we found a high contribution of total soil carbon to seedling height and ground diameter of L. bicolor, and the soil phosphatase activity contributed the most to the L. bicolor’ s leaf area. Our work suggests that the addition of rock-solubilizing microbial inoculums can enhance the supply capacity of soil nutrients and the ability of plants to take up nutrients for the promotion of plant growth. Altogether, our study provides technical support for the practical application of rock-solubilizing microbes on bare rock in the future.

Download Full-text