인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
The use of artificial neural networks has been a significant advancement in the field of computer science, as it supports various fields of study in many traditional sciences. Over the years, numerous models of artificial neural networks have been tested, serving as cornerstones in scientific research. These models have been a starting point for integrating artificial neural networks as support for the detection and analysis processes in situations of risk in food plantations. In this research, the aim is to highlight previous works that have emerged to address the problem of diseases in crops, specifically in coffee. As an experiment to substantiate the importance of artificial neural networks, a prototype has been developed. This prototype consists of a convolutional neural network trained to recognize diseases in coffee trees, a regression neural network for making projections based on the results obtained from the first mentioned network, and a web application where both networks coincide and work together to provide accurate results. In conclusion, it was demonstrated that the use of artificial neural networks is feasible for maximizing productions and reducing losses in crops, particularly in coffee plantations. The algorithms are in constant development, expanding the possibilities to create increasingly robust, simple, and intuitive tools accessible to everyone.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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