Digital Insights & Analytics Meter of Future Farm Managers. Parameters For Evaluation 14/14

Farm Management Companies. Numbers tell stories—apps, dashboards, and forecasts reveal what’s really happening on the farm.

Step 1 of 4

Data, Digital & Analytics

Q1: Field Apps / ERP, Geo-Tagging, Dashboards, Audit Trails; Do you track farm data on paper scraps, or with proper digital systems that investors can also see?👉 Example 1: Using WhatsApp photos vs. using a geo-tagged farm app that logs labor, inputs, and expenses.

👉 Example 2: Writing harvest weights in a notebook vs. uploading to ERP dashboard for real-time access.

No digital system, only verbal updates/notebooks. Like shopkeeper writing sales in pocket diary.

Some use of Excel/WhatsApp, but not systematic. Like sharing screenshots of accounts without full ledger.

Field apps/ERP in use: geo-tagging, records, periodic dashboards. Like modern shop with POS billing + stock management.

Full digital suite: ERP + geo-tagging + IoT dashboards + audit trails, client login access. Like Amazon seller portal—everything transparent, traceable.

Data, Digital & Analytics

Q2: Yield Forecasting, Anomaly Alerts, Decision Logs; Do you predict yields and detect risks in advance, or only realize at harvest that “kuch gadbad ho gaya”?👉 Example 1: Wheat—knowing 20 days before harvest whether yield will be 20 or 25 quintals.

👉 Example 2: Pest outbreak—getting app alert “aphid risk high” vs realizing when plants wilt.

No forecasting; only actual harvest known. Like waiting for exam day to know if you’ll pass.

Rough guesses based on field visits. Like saying “lagta hai 60% marks aayenge” without mock test.

Forecasting models + anomaly checks (climate, pests) with periodic reporting. Like checking mock test scores to predict board exam results.

Advanced digital forecasting: AI yield models, anomaly alerts (climate + soil + pest), decision logs explaining why each action was taken. Like share market apps predicting trends + sending alerts.

Review

Data, Digital & Analytics

Question :
Q1: Field Apps / ERP, Geo-Tagging, Dashboards, Audit Trails; Do you track farm data on paper scraps, or with proper digital systems that investors can also see?👉 Example 1: Using WhatsApp photos vs. using a geo-tagged farm app that logs labor, inputs, and expenses.
👉 Example 2: Writing harvest weights in a notebook vs. uploading to ERP dashboard for real-time access.

No digital system, only verbal updates/notebooks. Like shopkeeper writing sales in pocket diary.

Some use of Excel/WhatsApp, but not systematic. Like sharing screenshots of accounts without full ledger.

Field apps/ERP in use: geo-tagging, records, periodic dashboards. Like modern shop with POS billing + stock management.

Full digital suite: ERP + geo-tagging + IoT dashboards + audit trails, client login access. Like Amazon seller portal—everything transparent, traceable.

Your Answer:

Data, Digital & Analytics

Question :
Q2: Yield Forecasting, Anomaly Alerts, Decision Logs; Do you predict yields and detect risks in advance, or only realize at harvest that “kuch gadbad ho gaya”?👉 Example 1: Wheat—knowing 20 days before harvest whether yield will be 20 or 25 quintals.
👉 Example 2: Pest outbreak—getting app alert “aphid risk high” vs realizing when plants wilt.

No forecasting; only actual harvest known. Like waiting for exam day to know if you’ll pass.

Rough guesses based on field visits. Like saying “lagta hai 60% marks aayenge” without mock test.

Forecasting models + anomaly checks (climate, pests) with periodic reporting. Like checking mock test scores to predict board exam results.

Advanced digital forecasting: AI yield models, anomaly alerts (climate + soil + pest), decision logs explaining why each action was taken. Like share market apps predicting trends + sending alerts.

Your Answer:

Smart like a dolphin 🐬—spot the unseen! Share this and test who’s truly data-savvy.