Broad Scope of Site-Specific Crop Management and Specific Role of Remote Sensing Technologies Within It—A Review

IF 3.7 2区 农林科学 Q1 AGRONOMY Journal of Agronomy and Crop Science Pub Date : 2024-07-17 DOI:10.1111/jac.12732
Abid Ali, Muhammad Umair Hassan, Hans-Peter Kaul
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Abstract

Precision agriculture (PA) has great potential to increase agricultural productivity and profitability while reducing input costs and environmental impacts. Within PA, site-specific crop management (SSCM) is considered the main premise, in which tillage operations and precise crop inputs (such as seed, fertiliser, water, pesticide and agrochemical) are applied according to field variability. The main aim of this review was to highlight the methods and tools used for spatial crop monitoring, soil and weather data influencing crop productivity and to support the adoption of SSCM technology. To achieve this goal: we discussed the main five components of SSCM, methods for monitoring crop and soil data, delineating field management zones (FMZs) and variable rate technologies (VRT) such as precision planting and digital smart sensors used for SSCM application. The review summarised that recent advances in plant and soil sensing systems, artificial intelligence (AI) and machine learning should be used in retrieving and analysing GIS big data for optimised crop inputs supply. Within VRT, light-bar systems, automatic controllers and sensors are user-friendly technologies that should be employed in SSCM solution. The authors highlight that adoption of PA can be increased through proper training and education of the farmers, and developing simple, affordable and efficient PA technologies. The review suggests five criteria that should be strictly adopted to get maximum benefits from SSCM: (i) all factors influencing crop yields can be identified; (ii) their effects on crop yields can be determined by using appropriate digital tools and crop modelling; (iii) variable rate crop inputs (VRCIs) should be calculated based on accurate information obtained from plant, soil and environment; (iv) targeted crop inputs should be exercised through global positioning system (GPS) enabled automatic controllers or wireless sensors network (WSN); and (v) right doses of crop inputs (e.g., nitrogen and irrigation) must be applied at the right time and place.

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特定地点作物管理的广泛范围和遥感技术在其中的具体作用--综述
精准农业(PA)在提高农业生产率和盈利能力,同时降低投入成本和环境影响方面具有巨大潜力。在精准农业中,因地制宜的作物管理(SSCM)被认为是主要前提,其中耕作操作和精确的作物投入(如种子、肥料、水、农药和农用化学品)都是根据田间变化而应用的。本综述的主要目的是强调用于作物空间监测、影响作物生产力的土壤和天气数据的方法和工具,并支持 SSCM 技术的采用。为实现这一目标:我们讨论了 SSCM 的五个主要组成部分、作物和土壤数据监测方法、田间管理区划(FMZ)以及变率技术(VRT),如精准种植和用于 SSCM 应用的数字智能传感器。综述总结指出,植物和土壤传感系统、人工智能(AI)和机器学习的最新进展应被用于检索和分析地理信息系统大数据,以优化作物投入的供应。在 VRT 中,光栅系统、自动控制器和传感器是用户友好型技术,应在 SSCM 解决方案中加以采用。作者强调,可以通过对农民进行适当的培训和教育,以及开发简单、负担得起和高效的 PA 技术,来提高 PA 的采用率。综述提出了应严格采用的五项标准,以便从 SSCM 中获得最大收益:(i) 可确定影响作物产量的所有因素;(ii) 可通过使用适当的数字工具和作物建模确定这些因素对作物产量的影响;(iii) 应根据从植物、土壤和环境中获得的准确信息计算可变速率作物投入;(iv) 应通过支持全球定位系统(GPS)的自动控制器或无线传感器网络(WSN)进行有针对性的作物投入;(v) 必须在适当的时间施用适当剂量的作物投入(如氮肥和灌溉)、(v) 必须在正确的时间和地点施用正确剂量的作物投入(如氮和灌溉)。
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来源期刊
Journal of Agronomy and Crop Science
Journal of Agronomy and Crop Science 农林科学-农艺学
CiteScore
8.20
自引率
5.70%
发文量
54
审稿时长
7.8 months
期刊介绍: The effects of stress on crop production of agricultural cultivated plants will grow to paramount importance in the 21st century, and the Journal of Agronomy and Crop Science aims to assist in understanding these challenges. In this context, stress refers to extreme conditions under which crops and forages grow. The journal publishes original papers and reviews on the general and special science of abiotic plant stress. Specific topics include: drought, including water-use efficiency, such as salinity, alkaline and acidic stress, extreme temperatures since heat, cold and chilling stress limit the cultivation of crops, flooding and oxidative stress, and means of restricting them. Special attention is on research which have the topic of narrowing the yield gap. The Journal will give preference to field research and studies on plant stress highlighting these subsections. Particular regard is given to application-oriented basic research and applied research. The application of the scientific principles of agricultural crop experimentation is an essential prerequisite for the publication. Studies based on field experiments must show that they have been repeated (at least three times) on the same organism or have been conducted on several different varieties.
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