Applications and Challenges of Smart Farming for Developing Sustainable Agriculture

Z. Abdalla, H. El-Ramady
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引用次数: 12

Abstract

griculture is the backbone of any nation, which supplies with the needed foods, feeds, fiber and fuel. The crucial sector has become more flexible and advanced due to the enormous progress in the bioinformatics, which penetrates all fields in our life. Smart agriculture is an important page in the history of global agriculture, which already used several advanced technologies during different agricultural practices starting from the pre-cultivation, cultivation, seedling, fertilization, weed detection, irrigation, spraying pesticides, till harvesting and also pot-harvest. Many sectors have been involved in smart farming like smart irrigation, and all precision farming practices for improving and management of the agriculture especially in the developing countries, which need more supporting from their governments even at the private sector and the small farms level. This short communication is a call for submitting articles on smart farming and its applications in different agricultural practices including irrigation, fertilization, and etc. Due to smart agriculture mainly depends on the bioinformatics, this technology has several open questions particularly their applications, models, and security, which need further investigations.
智能农业在发展可持续农业中的应用和挑战
农业是任何国家的支柱,它提供所需的食物、饲料、纤维和燃料。由于生物信息学的巨大进步,关键部门变得更加灵活和先进,它渗透到我们生活的各个领域。智慧农业是全球农业历史上重要的一页,它已经在不同的农业实践中使用了几种先进技术,从预耕、栽培、育苗、施肥、杂草检测、灌溉、喷洒农药、耕耘收获到盆栽收获。许多部门都参与了智能农业,如智能灌溉,以及所有用于改善和管理农业的精准农业实践,特别是在发展中国家,这需要他们的政府更多的支持,即使是在私营部门和小农场层面。这个简短的交流是呼吁提交关于智能农业及其在不同农业实践中的应用的文章,包括灌溉、施肥等。由于智能农业主要依赖于生物信息学,因此该技术在应用、模型和安全性等方面存在一些悬而未决的问题,需要进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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