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
Abstract The pomegranate industry faces increasing challenges due to pest infestations, particularly from Virachola livia , which threatens production and farmer livelihoods, especially in arid countries like Oman. While the government has implemented an integrated pest management (IPM) program, the growing pest population and rising control costs highlight the need for more effective management strategies. Despite extensive agricultural pest control research, few studies have examined optimal pest management in perennial crops or analytically considered pest behavior and fruit characteristics in estimating crop-related benefits and costs, particularly in the Arabian contexts. Moreover, no previous study has assessed the economic benefits of agritourism in pest management decisions. Therefore, this study develops a stochastic dynamic bioeconomic model to determine the optimal pest management strategy and tree replanting age for pomegranate cultivation under different pest infestation levels, farmer behaviors, and agritourism scenarios. The findings indicate that while pest management is crucial for reducing fruit damage and increasing yields, current practices fail to maximize economic returns. Additionally, integrating agritourism into pest management strategies significantly enhances the overall value of pomegranate farming. The results underscore the need for improved educational programs to align farmers’ pest management practices with socially optimal strategies. Furthermore, the model can be adapted to other crops or expanded to address broader agricultural risks, such as disease outbreaks, wildfires, and climate change, offering valuable guidance for policymakers.
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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