Spatial Variability and Management Zone Delineation in Cereal–Legume Forage Mixtures Using Apparent Electrical Conductivity and NDVI Under No-Till Conditions

Cereal–legume forage mixtures provide sustainable agronomic and environmental benefits for arid Mediterranean agricultural systems, but their productivity is often limited by within-field soil spatial variability. Site specific management practices are required to address the yield gaps. This study aimed to identify management zones in a no-till Triticale–Avena–Pea mixture by integrating apparent electrical conductivity (ECa) and NDVI measurements. ECa was mapped using an EM38-MK2 sensor, while NDVI was derived from UAV and Sentinel-2 imagery at four key growth stages. Plant biomass data and soil samples were collected for evaluating and explaining the yield gaps. Using K-means clustering, three management zones were delineated using ECa and NDVI data. Results showed a yield gap of 46% in fresh biomass between high- and low-productivity zones, associated with strong gradients in soil organic matter and total nitrogen availability. The delineation of management zones enabled targeted agronomic interventions, such as adjusting seeding rates in the high-productivity area and prioritizing soil improvement strategies in the low-productivity zone, thereby enhancing input-use efficiency.

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Publication Details

Journal
AgriEngineering
Published
2026-09-09
DOI
https://doi.org/10.3390/agriengineering8090381
Primary Topic
Soil Geostatistics and Mapping
Type
article
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article

Spatial Variability and Management Zone Delineation in Cereal–Legume Forage Mixtures Using Apparent Electrical Conductivity and NDVI Under No-Till Conditions

Hanane Ouhemi, Mounia Sibaoueih, Assia Harkani, Abdellah Elaissaoui et al.
AgriEngineering
Soil Geostatistics and Mapping
article

Spatial Variability and Management Zone Delineation in Cereal–Legume Forage Mixtures Using Apparent Electrical Conductivity and NDVI Under No-Till Conditions

Hanane Ouhemi, Mounia Sibaoueih, Assia Harkani, Abdellah Elaissaoui, Kacem Makroum, Khalid Ibno Namr, Hasna Hajjaj
article en

Abstract

Cereal–legume forage mixtures provide sustainable agronomic and environmental benefits for arid Mediterranean agricultural systems, but their productivity is often limited by within-field soil spatial variability. Site specific management practices are required to address the yield gaps. This study aimed to identify management zones in a no-till Triticale–Avena–Pea mixture by integrating apparent electrical conductivity (ECa) and NDVI measurements. ECa was mapped using an EM38-MK2 sensor, while NDVI was derived from UAV and Sentinel-2 imagery at four key growth stages. Plant biomass data and soil samples were collected for evaluating and explaining the yield gaps. Using K-means clustering, three management zones were delineated using ECa and NDVI data. Results showed a yield gap of 46% in fresh biomass between high- and low-productivity zones, associated with strong gradients in soil organic matter and total nitrogen availability. The delineation of management zones enabled targeted agronomic interventions, such as adjusting seeding rates in the high-productivity area and prioritizing soil improvement strategies in the low-productivity zone, thereby enhancing input-use efficiency.

AgriEngineeringVol. 8(9)
National School of Business and Management in Settat (MA), Chouaib Doukkali University (MA)
Zero hunger
Openalex Percentile: Top 17%
Soil Geostatistics and Mapping
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