Potential application
Why do some growing sites produce better fruit while others produce more fruit?
Pineapple quality and yield
Compare growing conditions, repeat crop observations, application records and harvest grading to guide agronomist-led inspection and testing.
A proposed pilot workflow, not a customer result or evidence of a deployed combined system. Data availability, integrations and operating suitability must be confirmed.
Discuss a pilotConnected workflow
From observations to a reviewed decision.
- Growing conditions
- Repeat crop captures
- Reviewed records
- Harvest comparison
- 01
Establish comparable records
Agree sampling, crop stage and recording methods. Combine soil analysis arranged through a laboratory partner with available weather and soil-sensor readings, noting gaps and differing conditions.
- 02
Observe during repeat visits
Propose repeat NDVI, NDRE and GNDVI captures from DroneDash’s multispectral camera during spraying visits, where safe and technically suitable. Agree capture conditions, calibration and comparable timing; vegetation indices alone do not diagnose disease or determine dosage.
- 03
Bring the evidence into review
Explore an AgriSense 2.0 review workflow alongside consistent application records. Sensor and treatment-record integrations require confirmation; a proposed connection is not an automatic operational integration.
- 04
Compare against harvest grading
Relate dated observations to recorded harvest batches and grading. Agronomists consider crop stage, management, sampling and other confounding factors before choosing what to inspect or test.
Supported decisions
What people could decide.
- Which growing conditions or canopy differences merit closer inspection?
- What soil or crop tests should an agronomist commission?
- Which comparisons need more consistent sampling or additional records?
Proposed measures
What a pilot should check.
- Total yield per hectare
- A-grade share of the recorded harvest
- A-grade output per hectare
- Sweetness, size, shape and appearance, where recorded
Evidence needed to assess value
Define the area denominator, harvest period and grading rules before comparison. Use traceable sampling and harvest records; report missing data and uncertainty. These are proposed measures, not published results.
Scope and limitations
This is a potential comparative assessment, not proof of causality or improved fruit quality or yield. No client identity, country, site count, field imagery or customer data is used here.
AgriSense sensor connections, persistent tree identity, treatment-record integration and predictive support remain directions requiring implementation and field validation. Spectral indices support inspection; people approve treatment. LIBS is a separate concept, not an operational AgriSense input.