实现可持续农业:利用人工智能促进全球粮食安全

IF 8.2 Q1 AGRICULTURE, MULTIDISCIPLINARY
Dhananjay K. Pandey , Richa Mishra
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引用次数: 0

摘要

粮食安全问题仍然是全球关注的一个突出问题,影响着大量遭受饥饿和营养不良不利影响的人。要解决这一错综复杂的问题,就必须在农业和粮食部门实施新颖的、改变模式的方法。近来,人工智能(AI)领域已成为能够对农业和粮食部门产生深远影响的有力工具。人工智能技术通过优化作物栽培方法、实现预测建模和精准农业技术的使用,以及协助高效的作物监测和疾病识别,提供了显著的优势。此外,人工智能还有可能优化供应链运作、仓储管理、运输系统和质量保证流程。它还可以通过减少收获后损失、预测分析和智能库存管理来解决粮食损失和浪费问题。这项研究强调,通过利用人工智能的力量,我们可以改变生产、分配和管理食品的方式,最终为所有人创造一个更安全、更可持续的未来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards sustainable agriculture: Harnessing AI for global food security

The issue of food security continues to be a prominent global concern, affecting a significant number of individuals who experience the adverse effects of hunger and malnutrition. The finding of a solution of this intricate issue necessitates the implementation of novel and paradigm-shifting methodologies in agriculture and food sector. In recent times, the domain of artificial intelligence (AI) has emerged as a potent tool capable of instigating a profound influence on the agriculture and food sectors. AI technologies provide significant advantages by optimizing crop cultivation practices, enabling the use of predictive modelling and precision agriculture techniques, and aiding efficient crop monitoring and disease identification. Additionally, AI has the potential to optimize supply chain operations, storage management, transportation systems, and quality assurance processes. It also tackles the problem of food loss and waste through post-harvest loss reduction, predictive analytics, and smart inventory management. This study highlights that how by utilizing the power of AI, we could transform the way we produce, distribute, and manage food, ultimately creating a more secure and sustainable future for all.

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来源期刊
Artificial Intelligence in Agriculture
Artificial Intelligence in Agriculture Engineering-Engineering (miscellaneous)
CiteScore
21.60
自引率
0.00%
发文量
18
审稿时长
12 weeks
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