Article Sidebar

Submitted
June 5, 2023
Accepted
October 27, 2023
Published
February 5, 2024
Download
PDF
Statistic
Read Counter : 98 Download : 116

Downloads

Download data is not yet available.

Main Article Content

Abstract

The morphological attributes play a significant role in determining the level of applied insecticide by the existing spraying system. Therefore, this attempt was made to assess the various morphological attributes of guava tree such as leaf size, leaf area, leaf area index (LAI) and leaf area density (LAD). In this study, two leaf area estimation techniques (grid count method and Image processing technique based on ImageJ software) were compared and also estimate LAI and LAD for ten trees. An average leaf area was registered 29.56 cm2 and R2 value (0.98) for predicting leaf area by image processing technique. The LAI and LAD varied from 0.69 to 2.17 m2/m2 and 0.53 to 1.89 m2/m3, respectively. In addition, minimum and maximum LAD (mean ± SD) for zone wise ranged from 0.07 ± 0.06 m2/m3 to 2.73 ± 1.43 m2/m3, respectively. The study findings provide an opportunity to deal with large volume of leafs for leaf area estimation and would also help in design of various sprayers like determining the dimensions of tunnel sprayer and allow them to test in laboratory conditions with simulated artificial tree.

Keywords

Guava Leaf area Leaf area density Leaf area index Morphological characteristics

Article Details

License

Copyright (c) 2023 Environment Conservation Journal

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite
Singh, J., Maharani Din, K. N. Agrawal, Bikram Jyoti, Roul, A., & Pagare, V. (2024). Assessment of morphological attributes of Guava tree for design of a novel tunnel spraying system. Environment Conservation Journal, 25(1), 1–9. https://doi.org/10.36953/ECJ.23882628
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX
Crossref
Scopus
Google Scholar
Europe PMC

References

  1. Ade, G., Molari, G., & Rondelli, V. (2007). Recycling tunnel sprayer for pesticide dose adjustment to the crop environment. Transactions of the ASABE, 50(2), 409-413. DOI: https://doi.org/10.13031/2013.22632
  2. Chaudhary, P., Godara, S., Cheeran, A. N., & Chaudhari, A. K. (2012). Fast and accurate method for leaf area measurement. International journal of computer applications, 49(9), 22-25. DOI: https://doi.org/10.5120/7655-0757
  3. Cross J. V., Walklate P. J., Murray R. A., & Richardson G. M. (2003). Spray deposits and losses in different sized apple trees from an axial fan orchard sprayer: 3. Effects of air volumetric flow rate. Crop protection, 22(2), 381 ̶ 394. DOI: https://doi.org/10.1016/S0261-2194(02)00192-8
  4. Celen, I. H., Durgut, M. R., Avci, G. G., & Kilic, E. (2009). Effect of air assistance on deposition distribution on spraying by tunnel-type electrostatic sprayer. African Journal of Agricultural Research, 4(12), 1392-1397.
  5. Fascella, G., Darwich, S., & Rouphael, Y. (2013). Validation of a leaf area prediction model proposed for rose. Chil J Agric Res, 73(1) 73–76. DOI: https://doi.org/10.4067/S0718-58392013000100011
  6. Hosoi, F., & Omasa, K. (2006). Voxel-based 3-D modeling of individual trees for estimating leaf area density using high-resolution portable scanning lidar. IEEE transactions on geoscience and remote sensing, 44(12), 3610-3618. DOI: https://doi.org/10.1109/TGRS.2006.881743
  7. Jamar, L., Mostade, O., Huyghebaert, B., Pigeon, O., & Lateur, M. (2010). Comparative performance of recycling tunnel and conventional sprayers using standard and drift-mitigating nozzles in dwarf apple orchards. Crop Protection, 29(6), 561-566. DOI: https://doi.org/10.1016/j.cropro.2009.12.018
  8. Kamoske, A. G., Dahlin, K. M., Stark, S. C., & Serbin, S. P. (2019). Leaf area density from airborne LiDAR: Comparing sensors and resolutions in a temperate broadleaf forest ecosystem. Forest Ecology and Management, 433, 364-375. DOI: https://doi.org/10.1016/j.foreco.2018.11.017
  9. Molari, G., Benini, L., & Ade, G. (2005). Design of a recycling tunnel sprayer using CFD simulations. Transactions of the ASAE, 48(2), 463-468. DOI: https://doi.org/10.13031/2013.18309
  10. Panneton, B., Lacasse, B., & Piché, M. (2005). Effect of air-jet configuration on spray coverage in vineyards. Biosystems Engineering, 90(2), 173-184. DOI: https://doi.org/10.1016/j.biosystemseng.2004.11.001
  11. Patil, S. B., & Bodhe, S. K. (2011). Betel leaf area measurement using image processing. International Journal on Computer Science and Engineering, 3(7), 2656-2660.
  12. Pergher, G., & Zucchiatti, N. (2018). Influence of canopy development in the vineyard on spray deposition from a tunnel sprayer. Journal of Agricultural Engineering, 49(3), 164-173. DOI: https://doi.org/10.4081/jae.2018.801
  13. Pergher G., & Petris R., (2008). A novel, air-assisted tunnel sprayer for vineyards. In International Conference “Innovation Technology to Empower Safety, Health and Welfare in Agriculture and Agro-food Systems” September, 15-17, 2008.
  14. Pergher, G., & Petris, R. (2009). A novel, air-assisted tunnel sprayer for vineyards: optimization of operational parameters and first assessment in the field. Journal of Agricultural Engineering, 40(4), 31-38. DOI: https://doi.org/10.4081/jae.2009.88
  15. Pergher G., (2005). Improving vineyard sprayer calibration - air flow rate and forward speed. Annual Review of Agricultural Engineering, 4, 197 ̶ 204.
  16. Pergher, G. (2006). The effect of air flow rate and forward speed on spray deposition from a vineyard sprayer. Rivista di Ingegneria Agraria (Italy).
  17. Pezzi, F., & Rondelli, V. (2000). The performance of an air-assisted sprayer operating in vines. Journal of Agricultural Engineering Research, 76(4), 331-340. DOI: https://doi.org/10.1006/jaer.2000.0540
  18. Rico-Garcia, E., Hernandez-Hernandez, F., Soto-Zarazua, G. M., & Herrera-Ruiz, G. (2009). Two new methods for the estimation of leaf area using digital photography. International journal of agriculture and biology, 11(4), 97-400.
  19. Shivling, V. D., Singla, A., Ghanshyam, C., Kapur, P., & Gupta, S. (2011). Plant leaf imaging technique for agronomy. In 2011 International Conference on Image Information Processing (pp. 1-5). IEEE. DOI: https://doi.org/10.1109/ICIIP.2011.6108853
  20. Singh, J., Kumar, A., & Singh, L. (2021a). Performance of the petiole mobile application on the leaf area estimation as varied with calibration height. The Pharma Innov J, 10 (4), 337 ̶ 341. DOI: https://doi.org/10.22271/tpi.2021.v10.i4Sf.6089
  21. Singh, J., Singh, L., & Kumar, A. (2021b). Estimation of leaf area by mobile application: Fast and accurate method. Pharma Innov. J, 10, 272 ̶ 275. DOI: https://doi.org/10.22271/tpi.2021.v10.i4Se.6066
  22. Singh, J., Din, M., Agrawal, K. N., Jyoti, B., Roul, A. K., Kumar, M., & Singh, K. (2022). Estimation of Leaf Area and Leaf Area Density for Design Optimization of a Recycling Tunnel Sprayer. Journal of Scientific & Industrial Research, 81, 173 ̶ 179. DOI: https://doi.org/10.56042/jsir.v81i02.45816