Case · AgroalCubo · Agriculture
From 40 days to 2 to report on more than 4,000 hectares.
Cristián Valdés Díaz is an advisor specialized in d’Agen plums: he advises on more than 4,000 hectares of plums, out of the 14,000 planted in Chile. His yield potential reports are now generated with one button, block by block.
“Quproc let me automate the generation of reports and more accurate diagnoses for my grower clients, based on our own models, field data and satellite imagery. Cutting the time it takes and with no errors.”
The data existed, but cross-checking it took weeks.
Satellite imagery, harvest reports and fruit size data lived in different places. To understand the yield potential of each field, management spent weeks cross-checking spreadsheets by hand.
The cost was twofold: decisions that came late, with their opportunity cost, and the risk of human error in every cross-check.
From data to email, in six steps.
- Step 1Data sourceProduction variables (NDVI, fruit size, plants per hectare) are consolidated in a central database.
- Step 2One-button reportThe yield potential report is generated 100% automatically.
- Step 3View by grower and farmCurrent data, history and benchmark, on one screen.
- Step 4Personalized emailEach grower receives their yield potential report.
- Step 5Executive summaryAll the fields of one grower or manager, in a single summary.
- Step 6Automated sendingThe executive summary goes out on its own.
What each grower gains.
38 days of lead time
Time to refine the strategy, negotiate better with suppliers and plan the season’s investments.
Real data to decide
Corrected production targets and an improvement plan based on each farm’s actual yield.
Anonymous benchmark
Healthy competition and good practices shared among the growers of the same advisor.
Micro-zoning of the field
Weak zones become visible, with specific improvement plans. The field evens out season after season.
The gap, block by block
The report shows how many dry kilos per hectare are being lost in each zone, before thinning.
On their own tools, so the process is theirs.
Quproc works on the tools the company already has: spreadsheets in Google Sheets or OneDrive, its ERP, satellite imagery and AI. That way the client owns its process.
Here that meant connecting field data with imagery and with production, operational and financial reports, knowing the journey of the fruit and the agronomic variables that drive yield and quality.
See it with sample data.
The same web app, with sample data: NDVI, nutrient balance, harvest and fruit size for each block, year by year, and the gap against its potential. The app is in Spanish.
Is your agronomic data scattered? We organize it on your own tools.
Thirty minutes to see which variables you have, where they are and which report could go out on its own.