多模式分析技术在植物逆境评价中的应用综述。

IF 4.1 2区 生物学 Q1 PLANT SCIENCES
Frontiers in Plant Science Pub Date : 2025-04-30 eCollection Date: 2025-01-01 DOI:10.3389/fpls.2025.1545025
Abdolrahim Zandi, Seyedali Hosseinirad, Hossein Kashani Zadeh, Kouhyar Tavakolian, Byoung-Kwan Cho, Fartash Vasefi, Moon S Kim, Pantea Tavakolian
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引用次数: 0

摘要

在农业中,检测植物胁迫是一项关键挑战,早期干预对于提高作物抗逆性和最大限度地提高产量至关重要。传统的单模方法往往不能捕捉植物健康应激源的复杂相互作用。方法:本综述整合了多模式分析(MMA)的最新进展,它采用了光谱成像、基于图像的表型和自适应计算技术。它集成了机器学习、数据融合和高光谱技术,以提高分析的准确性和效率。结果:MMA方法在早期干预的准确性和可靠性方面有了实质性的提高。它们通过有效捕获各种非生物压力源之间复杂的相互作用而优于传统方法。最近的研究强调了MMA在提高预测能力方面的好处,这有助于制定及时有效的干预策略,以提高农业生产力。讨论:MMA相对于传统单模技术的优势是显著的,特别是在具有挑战性的环境中植物胁迫的检测和管理。整合先进的分析方法,通过对压力条件的主动响应来支持精准农业。这些创新对于加强陆地和空间农业的粮食安全,确保粮食生产系统的可持续性和复原力至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A systematic review of multi-mode analytics for enhanced plant stress evaluation.

Introduction: Detecting plant stress is a critical challenge in agriculture, where early intervention is essential to enhance crop resilience and maximize yield. Conventional single-mode approaches often fail to capture the complex interplay of plant health stressors.

Methods: This review integrates findings from recent advancements in Multi-Mode Analytics (MMA), which employs spectral imaging, image-based phenotyping, and adaptive computational techniques. It integrates machine learning, data fusion, and hyperspectral technologies to improve analytical accuracy and efficiency.

Results: MMA approaches have shown substantial improvements in the accuracy and reliability of early interventions. They outperform traditional methods by effectively capturing complex interactions among various abiotic stressors. Recent research highlights the benefits of MMA in enhancing predictive capabilities, which facilitates the development of timely and effective intervention strategies to boost agricultural productivity.

Discussion: The advantages of MMA over conventional single-mode techniques are significant, particularly in the detection and management of plant stress in challenging environments. Integrating advanced analytical methods supports precision agriculture by enabling proactive responses to stress conditions. These innovations are pivotal for enhancing food security in terrestrial and space agriculture, ensuring sustainability and resilience in food production systems.

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来源期刊
Frontiers in Plant Science
Frontiers in Plant Science PLANT SCIENCES-
CiteScore
7.30
自引率
14.30%
发文量
4844
审稿时长
14 weeks
期刊介绍: In an ever changing world, plant science is of the utmost importance for securing the future well-being of humankind. Plants provide oxygen, food, feed, fibers, and building materials. In addition, they are a diverse source of industrial and pharmaceutical chemicals. Plants are centrally important to the health of ecosystems, and their understanding is critical for learning how to manage and maintain a sustainable biosphere. Plant science is extremely interdisciplinary, reaching from agricultural science to paleobotany, and molecular physiology to ecology. It uses the latest developments in computer science, optics, molecular biology and genomics to address challenges in model systems, agricultural crops, and ecosystems. Plant science research inquires into the form, function, development, diversity, reproduction, evolution and uses of both higher and lower plants and their interactions with other organisms throughout the biosphere. Frontiers in Plant Science welcomes outstanding contributions in any field of plant science from basic to applied research, from organismal to molecular studies, from single plant analysis to studies of populations and whole ecosystems, and from molecular to biophysical to computational approaches. Frontiers in Plant Science publishes articles on the most outstanding discoveries across a wide research spectrum of Plant Science. The mission of Frontiers in Plant Science is to bring all relevant Plant Science areas together on a single platform.
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