「agriculture」の検索結果

Read and manage farm data through Leaf Agriculture: fields, boundaries, machine operation files, and as-applied irrigation. Trigger phrases: leaf agriculture, farm data, field boundaries, as-applied irrigation, john deere data, operation files.

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Use when deciding which English agriculture / environment / earth-science journal skill to invoke next, comparing fit across the 30-journal agriculture-and-environment roadmap, or routing a manuscript before venue-specific re-framing. Routes by sub-field (agronomy / plant / soil / food / environment / earth / climate), contribution type, and evidence shape (field trial / lab assay / observational survey / model / dataset).

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Use when targeting Agriculture, Ecosystems & Environment or deciding whether an agroecosystem-environment manuscript fits this venue. Encodes the journal's fit, the field-to-landscape environmental-outcome bar, data-reporting expectations, house style, official-submission re-check, and desk-reject heuristics.

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Expert knowledge for Azure Data Manager for Agriculture development including limits & quotas, security, configuration, and integrations & coding patterns. Use when setting up BYOL creds/Private Link, ag data ingestion/IoT, AI/nutrient APIs, throttling, or Event Grid logs, and other Azure Data Manager for Agriculture related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Data Factory (use azure-data-factory), Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks).

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Operate the Agriculture_KnowledgeGraph agricultural Neo4j graph, Django demo, entity labeling, crawler, and relation-extraction workflows.

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Expert knowledge for Azure Energy Data Services development including troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when configuring ADME metrics/partitions, choosing tiers, securing auth/ACLs/legal tags, or integrating ACZ/DDMS with Databricks/Fabric, and other Azure Energy Data Services related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Synapse Analytics (use azure-synapse-analytics), Azure Data Factory (use azure-data-factory), Azure Data Manager for Agriculture (use azure-data-manager-for-agri).

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Expert knowledge for Azure Health Data Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using FHIR/DICOM APIs, bulk import/export, de-identification, events, or Synapse/Data Lake integrations, and other Azure Health Data Services related development tasks. Not for Azure Health Bot (use azure-health-bot), Azure Data Manager for Agriculture (use azure-data-manager-for-agri), Azure Energy Data Services (use azure-energy-data-services).

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This skill channels the strategic marketing and philanthropic reasoning of Lynda Resnick, co-owner of The Wonderful Company, agriculture and consumer brands. Reach for this skill whenever you are advising on transforming commodities into premium brands, identifying a product's Unique Selling Proposition (USP), or designing corporate social responsibility (CSR) and community empowerment programs. Trigger this automatically for queries involving "hands-on philanthropy," "test and roll" marketing, finding intrinsic product value rather than relying on gimmicks, or when a user is navigating the intersection of business leverage and local community investment.

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Analyze agricultural climate risk systems for weather impact modeling, crop insurance, drought/flood prediction, soil moisture, and carbon tracking. Use when: 'assess crop climate risk', 'evaluate weather yield models', 'review crop insurance integration', 'audit drought prediction', 'check carbon sequestration tracking', 'analyze farm adaptation planning', 'evaluate DSSAT or APSIM models'.

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How nutrition science becomes dietary guidance, and how industry, agriculture, and politics shape that process. Covers the US Dietary Guidelines cycle, food labeling, WIC and SNAP, commodity subsidies, and the documented history of industry influence on research and recommendations. Use when a question asks why a guideline says what it says, how a recommendation got written, or whether an industry-funded study should be trusted.

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Designing interventions, systems, and policies for sustainability. Covers renewable energy (solar, wind, hydro, geothermal), sustainable agriculture (agroecology, permaculture, integrated pest management), conservation strategies (protected areas, corridors, rewilding), lifecycle analysis, circular economy principles, and policy instruments (carbon pricing, cap-and-trade, regulation). Use when evaluating or designing interventions that aim to reduce environmental impact while maintaining human well-being.

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Assesses timberland and agricultural investments with biological growth rates, harvest economics, and land value appreciation. Use when evaluating timber investments, analyzing farmland, or assessing biological asset returns.

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Audit precision agriculture and crop management software for yield prediction model accuracy, soil analysis integration, irrigation optimization algorithms, pest and disease detection pipelines, satellite and drone imagery processing, weather data integration.

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Analyze agricultural climate risk systems for weather impact modeling, crop insurance, drought/flood prediction, soil moisture, and carbon tracking. Triggers: 'assess crop climate risk', 'evaluate weather yield models', 'review crop insurance integration'.

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Expert en technologies agricoles avancées (precision farming, IoT sensors, satellite imagery, yield prediction, DZ context)

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AgriTech Specialist IA — Expert en technologies agricoles (IoT sensors, weather APIs, crop monitoring, supply chain DZ)

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AgriTech Algeria v2 — OAIC, conditions météo, irrigation, sahel, precision farming DZ

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AgriTech Algérie — OAIC, conditions météo, irrigation, saisonnalité wilayas, cultures locales

日本語の概要は準備中です。原文の説明を表示しています。