Connection Between the Microbial Community and the Management Zones Used in Precision Agriculture Cultivation

In precision agriculture, the delineation of Management Zones (MZs) is essential for optimizing input use efficiency and site-specific nutrient management. MZs are established based on spatial variability derived from remote sensing data—such as Normalized Difference Vegetation Index (NDVI) from satellite or UAV-based imagery—and yield maps collected during harvest. However, the microbial community composition of the soil is often overlooked in MZ delineation. To address this gap, we investigated the soil bacterial community structure across different MZs in an arable field. The zones were delineated using NDVI data, soil profiles were described, and bulk soil samples were collected. Soil physicochemical parameters were analyzed in parallel with 16S rRNA gene amplicon sequencing to characterize bacterial community composition and diversity. The results demonstrated that soil texture and soil organic matter content were the primary drivers influencing bacterial community structure across the field. Moreover, patterns in microbial composition aligned closely with MZ delineations, indicating that microbial profiles could aid in better understanding and supporting the nutrient management practices. Our findings suggest that soil microbiological data can enhance the stability and biological relevance of MZ definitions, thereby improving resource allocation, soil health management, and overall sustainability in precision farming systems.

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Publication Details

Journal
Agriculture
Published
2026-01-08
DOI
https://doi.org/10.3390/agriculture16020156
Primary Topic
Soil Geostatistics and Mapping
Type
article
Field-Weighted Citation Impact
0.00

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article

Connection Between the Microbial Community and the Management Zones Used in Precision Agriculture Cultivation

Ádám Csorba, Balázs Kriszt, Milán Farkas, Ádám István Hegyi et al.
Agriculture
Soil Geostatistics and Mapping
article

Connection Between the Microbial Community and the Management Zones Used in Precision Agriculture Cultivation

Ádám Csorba, Balázs Kriszt, Milán Farkas, Ádám István Hegyi, Dalma Márton, Neveen Almalkawi, Tamás Szegi, Mátyás Cserháti
article en

Abstract

In precision agriculture, the delineation of Management Zones (MZs) is essential for optimizing input use efficiency and site-specific nutrient management. MZs are established based on spatial variability derived from remote sensing data—such as Normalized Difference Vegetation Index (NDVI) from satellite or UAV-based imagery—and yield maps collected during harvest. However, the microbial community composition of the soil is often overlooked in MZ delineation. To address this gap, we investigated the soil bacterial community structure across different MZs in an arable field. The zones were delineated using NDVI data, soil profiles were described, and bulk soil samples were collected. Soil physicochemical parameters were analyzed in parallel with 16S rRNA gene amplicon sequencing to characterize bacterial community composition and diversity. The results demonstrated that soil texture and soil organic matter content were the primary drivers influencing bacterial community structure across the field. Moreover, patterns in microbial composition aligned closely with MZ delineations, indicating that microbial profiles could aid in better understanding and supporting the nutrient management practices. Our findings suggest that soil microbiological data can enhance the stability and biological relevance of MZ definitions, thereby improving resource allocation, soil health management, and overall sustainability in precision farming systems.

AgricultureVol. 16(2)
Magyar Agrár- és Élettudományi Egyetem (HU), Bay Zoltán Foundation for Applied Research (HU)
Innovációs és Technológiai Minisztérium, Nemzeti Kutatási, Fejlesztési és Innovaciós Alap
Zero hunger
Openalex Percentile: Top 95%
Soil Geostatistics and Mapping
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