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