Research-Grade XLSForms, Ready for Deployment.

- Temperature change (deg C) from loading to arrival - Frequency of cold chain breakage - Monitoring compliance (yes/no) - Comparison across commodity types - Variation across respondent categories

- Multi-dimensional: Covers zoning, space, pollution, social, economic, and climate constraints. - Targeted urban users: Relevant to urban farmers, beekeepers, fish farmers, and seed producers. - Regulatory & legal metrics: Captures permits, compliance, and legal support access. - Environmental & climate data: Includes pollution types, severity, soil quality, and climate risks. - Resource & market assessment: Tracks water, electricity, inputs, storage, and market access. - Social & community factors: Neighbor conflicts, training, community support, and gender inclusion.

- Target users: Veterinarians, Quality Auditors, Lab Technicians - Intermediate depth: Adds sample metadata and testing details beyond simple survey - Storage info: Captures storage conditions for better analysis of contamination risks - Risk & severity scoring: Includes aflatoxin levels, risk categories, and severity perception - Repeat test logic: Flags samples needing retesting - Global applicability: Uses international country options

'- Survey and Enumerator Tracking: Records survey start/end times, device ID, and enumerator name for accountability and data auditing. - Farmer Identification and Geolocation: Captures farmer details and GPS coordinates to link harvest and loss data to specific producers and locations. - Multi-Crop Harvest Reporting: Supports repeated entry of multiple crops per farmer to capture diversified production systems. - Harvest and Post-Harvest Loss Quantification: Collects harvested and immediately lost quantities with built-in validation to ensure realistic values. - Automatic Loss Percentage Calculation: Automatically computes post-harvest loss percentages for each crop to support analysis and reporting. - Loss Drivers and Storage Practices: Captures reasons for post-harvest losses and storage/handling methods to identify intervention points.

- Targeted respondents: Only Ag-Tech Startups and Early Adopters are included. - Regulation perception scoring: Captures perceived strictness and impact of drone laws. - Basic drone usage profiling: Records whether drones are used and for how long. - Short, fast, and analysis-ready: Designed for quick interviews and simple quantitative analysis. - Optional open text: Allows capturing nuanced challenges related to drone regulations.

'- Targeted users: Relevant for Urban Farmers and Seed Producers. - Tree integration tracking: Captures whether trees are planted and the area they cover. - Tree density: Records tree density for analysis of canopy effects. - Crop interaction: Tracks whether crops are grown under tree canopy. - Economic benefit: Records estimated increase in income due to tree integration. - Ecological benefits: Captures key observed ecological benefits like shade, soil fertility, or windbreak.

- Automated FCS Calculation: Real-time calculation of the Food Consumption Score (FCS) using standard WFP weights (e.g., Meat=4, Pulses=3, Cereals=2). - Integrated rCSI Scoring: Automatically weights coping strategies (e.g., restricting adult intake weighted at 3) to provide a severity index for immediate analysis. - Household Hunger Scale (HHS): Standardized 30-day recall indicators for extreme food insecurity, categorized for direct inclusion in Integrated Phase Classification (IPC) reporting. - Validation and Range Constraints: Strict constraints on "days per week" (0-7) and household sizes to prevent errors during intensive baseline data collection. - Analysis-Ready Indicators: Generates categorical outputs (Poor/Borderline/Acceptable) within the form, allowing analysts to visualize community vulnerability profiles immediately upon sync.

- 1. Weighted Water Footprint - Activities like production and processing have higher weighting - Produces per-actor and activity-level water footprint - 2. Aggregated Supply-Chain Index - overall_water_index combines weighted water footprint, barriers, and facilitators - Supports region- or sector-level analysis