CFP last date
22 July 2024
Call for Paper
August Edition
IJCA solicits high quality original research papers for the upcoming August edition of the journal. The last date of research paper submission is 22 July 2024

Submit your paper
Know more
Reseach Article

Development of an Intelligent System for Precision Banana Farming in Sri Lanka

by Hewageeganage H.R., Munasinghe M.H.M., Lansakara L.M.C.S., Vidanagamage T.C.B., Thusithanjana Thilakarathna, Thilini Jayalath
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 47
Year of Publication: 2023
Authors: Hewageeganage H.R., Munasinghe M.H.M., Lansakara L.M.C.S., Vidanagamage T.C.B., Thusithanjana Thilakarathna, Thilini Jayalath
10.5120/ijca2023923295

Hewageeganage H.R., Munasinghe M.H.M., Lansakara L.M.C.S., Vidanagamage T.C.B., Thusithanjana Thilakarathna, Thilini Jayalath . Development of an Intelligent System for Precision Banana Farming in Sri Lanka. International Journal of Computer Applications. 185, 47 ( Dec 2023), 35-41. DOI=10.5120/ijca2023923295

@article{ 10.5120/ijca2023923295,
author = { Hewageeganage H.R., Munasinghe M.H.M., Lansakara L.M.C.S., Vidanagamage T.C.B., Thusithanjana Thilakarathna, Thilini Jayalath },
title = { Development of an Intelligent System for Precision Banana Farming in Sri Lanka },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2023 },
volume = { 185 },
number = { 47 },
month = { Dec },
year = { 2023 },
issn = { 0975-8887 },
pages = { 35-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number47/33009-2023923295/ },
doi = { 10.5120/ijca2023923295 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:28:52.606034+05:30
%A Hewageeganage H.R.
%A Munasinghe M.H.M.
%A Lansakara L.M.C.S.
%A Vidanagamage T.C.B.
%A Thusithanjana Thilakarathna
%A Thilini Jayalath
%T Development of an Intelligent System for Precision Banana Farming in Sri Lanka
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 47
%P 35-41
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In Sri Lanka, banana is the most demanding fruit among consumers. Currently, Sri Lanka has about 60,000 hectares of territory under banana cultivation. Around 29 diverse types of bananas may be found. Most of them indigenous and unique to the country. This study focuses on developing an intelligent system (Mobile Application) designed for precise banana farming in Sri Lanka, taking into consideration the difficulties farmers face with dealing with diseases and pests, their lack of familiarity with best practices, the availability of agricultural officers, their capacity for problem-solving, and the potential for value-added banana products. The study uses a combination of methods to collect data from banana producers in several regions by combining surveys, interviews, and field observations. The findings focus on common diseases and insect infestations, insufficient farmer knowledge, shortage of agricultural officials who can effectively meet farmers' requirements and difficulty in handling cultivation activities efficiently and boosting banana plantation revenues. The study also evaluates the extent to which farmers may successfully address these issues and the chances to boost productivity through value-added banana products.

References
  1. W. Shanika, K. Prasannath, "Survey on Diseases of Banana and Their Management in Batticaloa District, Sri Lanka," 2016.
  2. J. Åkerman, "Paddy and banana cultivation in Sri Lanka," 2013.
  3. M. A. Prasad, "Banana Plant Waste as Raw Material Using in Textiles," vol. 5, no. 12, p. 8, 2018.
  4. H. S. T. F. Y. C. M. I. A. Birdie Scott Padam, "Banana by-products: an under-utilized renewable food biomass with great potential," p. 19, 2012.
  5. S. S. A.-N. H. R. Almadhoun, "Banana Knowledge Based System Diagnosis and Treatment," International Journal of Academic Pedagogical Research (IJAPR), 2018.
  6. R. K. A. Y. J. M. R. K. Anuj Yadav, "Utilization for by products of banana," p. 5, 2016.
  7. W.A.I.U. Bandara, N.N.D. Maduwantha, T.A.D.T.N.D. Alwis, K.A.D.K.S. Kuruppuarachchi, Udara Srimath S.Samaratunge, Thilmi Anuththara Kuruppu, "Smart Intelligent Pineapple Farming Assistant Agent (SIPFAA),"2022.
  8. Pavan Kumar V, E Gurumohan Rao, G Anitha, , "Plant Disease Detection using Convolutional Neural Networks, G Kiran Kumar," 2021.
  9. A. C. Asmanto Subagyo, "Banana Pseudo-Stem Fiber: Preparation, Characteristics, and Applications," p. 20, 2018.
  10. N. Petrellis, "Plant Disease Diagnosis Based on Image Processing, Appropriate for Mobile Phone Implementation," 2015.
  11. S. M. S. M. Debabandya Mohapatra, "Banana and its by-product utilisation," Journal of Scientific & Industrial Research, vol. 69, p. 8, 2010.
  12. C. T. B. Z. W. W. N. S. Fanglei Zou, "The Valorization of Banana By-Products," p. 25, 2022.
  13. R. A. D. S. Rupasinghe, "Determinants for contribution of pineapple growers for export volume in Gampaha District," 2015.
  14. K. S. J. Romero, "Crop profit optimization for farmers," 2016.
Index Terms

Computer Science
Information Sciences

Keywords

Banana Conversational AI Convolutional Neural Network (CNN) Mobile Application Intelligent System BallTree Geopy AutoRegressive Integrated Moving Average (ARIMA) BARIMA