Using Agile in Implementing Agriculture AI Projects and Farm Management

IF 1.2 Q2 AGRICULTURE, MULTIDISCIPLINARY
Hasan AlJafa, Várallyai László
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引用次数: 0

Abstract

The world's population has been increasing rapidly at an unprecedented rate In recent decades. This increase poses significant challenges to the agricultural and farming sector. With more mouths to feed, old farming techniques can’t meet the demand. It has become increasingly crucial to adopt advanced management techniques and cutting-edge technologies to boost agricultural productivity, reduce harvesting waste and meet the growing demand for food. This necessitates a paradigm shift in managing farms and agriculture, moving from traditional methods to more innovative and efficient approaches. Two approaches that have recently gained considerable attention are Agile management and Artificial Intelligence (AI). Farmers and agricultural managers can streamline their operations, increase efficiency, and improve their decision-making capabilities by adopting Agile and AI. This paper aims to explore the unique benefits and challenges of implementing Agile management and AI technologies in the agricultural sector and provide insights into their potential to revolutionise the industry. A theoretical implementation model was created with tips and guides for implementation.
在实施农业人工智能项目和农场管理中使用敏捷
近几十年来,世界人口以前所未有的速度迅速增长。这一增长对农业和农业部门构成了重大挑战。随着越来越多的人要养活,旧的农业技术无法满足需求。采用先进的管理技术和尖端技术来提高农业生产力、减少收获浪费和满足日益增长的粮食需求变得越来越重要。这就需要在管理农场和农业方面进行范式转变,从传统方法转向更具创新性和效率的方法。最近获得相当关注的两种方法是敏捷管理和人工智能(AI)。农民和农业管理者可以通过采用敏捷和人工智能来简化他们的操作,提高效率,并提高他们的决策能力。本文旨在探讨在农业部门实施敏捷管理和人工智能技术的独特好处和挑战,并提供他们对行业变革潜力的见解。创建了一个理论实现模型,并提供了实现的提示和指南。
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来源期刊
International Journal of Sustainable Agricultural Management and Informatics
International Journal of Sustainable Agricultural Management and Informatics Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
2.30
自引率
50.00%
发文量
23
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