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YHARVEST.IOManage supplier listing
Yharvest — Continuous in-field soil and microclimate time series from the company's own sensor nodes, recorded per zone per field across entire seasons: soil moisture and soil electrical conductivity, in-field air temperature and humidity with frost, heat and wet-period events as dated records, and — the scarce element — BBCH crop-development stage tracked through the season and visually confirmed from field photographs by AI, with every agronomic operation (treatment, fertilisation, irrigation) time-stamped against the stage at which it occurred. Recorded in Ukraine's black-soil belt across …
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Continuous in-field soil and microclimate time series from the company's own sensor nodes, recorded per zone per field across entire seasons: soil moisture and soil electrical conductivity, in-field air temperature and humidity with frost, heat and wet-period events as dated records, and — the scarce element — BBCH crop-development stage tracked through the season and visually confirmed from field photographs by AI, with every agronomic operation (treatment, fertilisation, irrigation) time-stamped against the stage at which it occurred. Recorded in Ukraine's black-soil belt across seven crops in four regions, including vineyards, berry plantings, soybean, corn and rapeseed.
Coverage Consumer Staples · Information TechnologyAsset class Commodities · EquitiesTickers ADM · BG · DE
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Yharvest — Continuous in-field soil and microclimate time series from the company's own sensor nodes, recorded per zone per field across entire seasons: soil moisture and soil electrical conductivity, in-field air temperature and humidity with frost, heat and wet-period events as dated records, and — the scarce element — BBCH crop-development stage tracked through the season and visually confirmed from field photographs by AI, with every agronomic operation (treatment, fertilisation, irrigation) time-stamped against the stage at which it occurred. Recorded in Ukraine's black-soil belt across …
Yharvest offers (Alternative, Geospatial, ESG, Supply Chain) — Est. 10^5-10^6 sensor readings per field-season (continuous multi-channel logging across a ~150-180 day season), so roughly 10^6-10^7 readings across a pilot-scale estate of tens of fields, plus the field-photograph corpus underlying the AI growth-stage labels. Small in absolute terms and explicitly early-stage — value sits in label quality and geography, not volume. Request total readings and photo count..
Crop-phenology model calibration and phenology-prediction training on AI-validated BBCH observations; fertiliser-use-efficiency and nitrogen-response model training using treatment-to-stage pairs; soil-moisture dynamics and irrigation-response modelling; in-field frost and heat risk models validated against measured rather than station-derived events; chernozem/black-soil agronomic modelling, a major grain belt under-represented in training corpora; perennial-crop (vineyard, berry, orchard) microclimate modelling; sensor-drift and soil-EC interpretation datasets
Coverage spans APAC; Agricultural Products & Services, Data Processing & Outsourced Services; alternative, geospatial, ESG, supply_chain; commodities, equities.
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