Assessing in-field soil moisture variability in the active root zone using granular matrix sensors

Hodges, Blade; Tagert, Mary Love M.; Paz, Joel O.; Meng, Qingmin

doi:10.1016/j.agwat.2023.108268

Cited by 8 publications

(1 citation statement)

References 27 publications

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“…However, electrical and electromagnetic sensors are widely used in PA. Among others, granular matrix sensors to determine spatial soil moisture patterns for site-specific irrigation scheduling (Hodges et al 2023). Soil sensor array to determine soil water tension for irrigation zones based on various soil information such as soil survey maps, topography, aerial photographs and visual inspection of the fields (Vellidis et al 2013).…”

Section: Field Management Zones Developmental Procedures and Referencesmentioning

confidence: 99%

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

Ali,

Hassan,

Kaul

2024

J Agronomy Crop Science

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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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Section: Field Management Zones Developmental Procedures and Referencesmentioning

confidence: 99%