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<p>Estimation of Leaf Area and Leaf Area Density for Design Optimization of a Recycling Tunnel Sprayer</p>

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Title Statement <p>Estimation of Leaf Area and Leaf Area Density for Design Optimization of a Recycling Tunnel Sprayer</p>
 
Added Entry - Uncontrolled Name Singh, Jagjeet ; ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, Madhya Pradesh, India
Din, M ; ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, Madhya Pradesh, India
Agrawal, K N; ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, Madhya Pradesh, India
Jyoti, B ; ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, Madhya Pradesh, India
Roul, A K; ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, Madhya Pradesh, India
Kumar, M ; ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, Madhya Pradesh, India
Singh, K ; ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, Madhya Pradesh, India
ICAR-Central Institute of Agricultural Engineering
 
Uncontrolled Index Term Canopy, Grid count method, Image processing, Regression model
 
Summary, etc. <p class="Abstract">A tunnel sprayer system is considered as one of the most economical and reasonable sprayers for protection of an orchard crop. The performance of the spraying system (spray deposition %, recycling %, and deposition % on abaxial and adaxial surface) could be improved through appropriate design. However, the morphological parameter of the orchard significantly influenced accuracy and effectiveness of the same spraying system. Therefore, this study was conducted to determine the morphological parameters of guava tree. Three techniques were used for estimation of leaf area: Grid Count Method (GCM), Image Processing Technique (IPT) and Regression Model (RM). The grid count method was used as a reference for area estimation. R<sup>2</sup> was 0.98 and 0.94 for IP &amp; RM compared to GCM, respectively. In the regression model, only length and width of the guava leaf were found statistically significant (P &lt; 0.01). It was concluded that the image processing technique provided better results for leaf area estimation with mean error ± standard deviation (−0.23 ± 3.41) than regression developed model. This study ensured the accuracy of image processing technique for the leaf area estimation and allows the researchers to deal with voluminous of leafs with accurate and quick response. Leaf area density (LAD) was recorded to be in range of 0.07–2.73 m<sup>2</sup>/m<sup>3</sup>. These morphological parameters could be used for design optimization of recycling tunnel sprayer in future, which would help to improve the performance of tunnel system.</p>
 
Publication, Distribution, Etc. Journal of Scientific & Industrial Research
2022-03-14 19:43:40
 
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http://op.niscair.res.in/index.php/JSIR/article/view/45816
 
Data Source Entry Journal of Scientific & Industrial Research; ##issue.vol## 81, ##issue.no## 02 (2022): Journal of Scientific and Industrial Research
 
Language Note en