Machine Algorithm-Based Web Prototypefor Crop Pest Detection
Agriculture is an essential activity because it provides food, raw mate-rials, and employment. This activity is affected by the emergence of pests at anystage of the crop life cycle. In turn, it causes a phytosanitary problem that causeslosses in the agricultural production and affects the quality o...
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| Other Authors: | , , |
| Format: | other |
| Language: | spa |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://www.dspace.uce.edu.ec/handle/25000/26712 |
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Add Tag | Summary: | Agriculture is an essential activity because it provides food, raw mate-rials, and employment. This activity is affected by the emergence of pests at anystage of the crop life cycle. In turn, it causes a phytosanitary problem that causeslosses in the agricultural production and affects the quality of the final product.Faced with these challenges, this research develops a machine algorithm-basedweb prototype for crop pest detection. This study focuses on pests of four cropsof Ecuadorian highlands, namely: potato, corn, tomato, and apple. The proposedsolution is based on machine learning algorithm that best suits our case study.For this, data mining phases, image processing techniques and model evalua-tion metrics are used. With these requirements, a web prototype is designed anddevelopment. Thus, this research provides a computer tool to receive and validateinformation about the causes and pest treatment. Conclusions and future researchare described at the final section of the document |
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