Know every corner of your crop from the sky.

The agriculture app that empowers you to remotely monitor your crops, detect underperforming areas and track progress.

MAPP app shown on three iPhones

HOW IT WORKS

Step 1: create a free account

Create free account

Step 2: get insights

Get insights

Step 3: take action

Take action

VINEYARDS

precision viticulture

Step 1

Detect, locate and count vine gaps

  • know the actual number of vines
  • know where to apply resources
  • know the number and location of vine gaps
Step 2

Guided scouting & sampling

  • get satellite updates every 5 days
  • detect problems before they are visible
  • scout suspicious locations more efficiently
  • sample key locations based on vine vigour
  • take and share geo-located field notes
  • reduce losses
  • save on pesticides & herbicides
Step 3

Create operations

  • understand intra-parcel variability
  • create different management zones automatically
  • apply the right amount in the right place
  • use the app in your tractor
  • works without VRT or GPS-equiped tractors
  • save on inputs
  • monitor application & impacts
Step 4

Selective harvesting

  • assess intra-parcel grape quality and yield variability
  • create different harvest zones automatically based on quality
  • adjust zone sizes to meet quality and quantity targets
  • use app on harvesting machine or to mark zones on the field
  • produce different quality wines and increase returns for the same area

Watch how it works

Advantages

Plant-level NDVI
(excludes inter-row vegetation
and other interferences)
Early detection of pests &
diseases
Fusion of satellite
and drone data
Assess grape quality
and yield estimates from the air
Vine health updates
every 5 days
Mapp.it web app: aerial view of orchard rows with a field note
Mapp.it web app: plant-level data points over orchard rows
Mapp.it web app: vegetation index map and chart of a plot
Mapp.it web app: NDVI map and time series chart of a plot
Mapp.it web app: field note placed on an orchard row
Mapp.it web app: list of places with their location on the map
Mapp.it web app: management zones map of a plot
Mapp.it web app: satellite NDVI map of a plot with the vegetation index time series

OLIVE OIL, FRUITS & NUTS

precision agriculture

Learn more

FORESTRY

precision forest management

Learn more

Blog

Introducing the New Mapp.it Web Page

Introducing the New Mapp.it Web Page: A Leap Forward in Technology and User Experience [versão portuguesa abaixo] We are thrilled to announce the launch of our new Mapp.it web page, a significant [...]

Order Plant-Level Data Online

Interested in knowing how much it costs to get high precision Plant Level Data for your crops? It’s not as much as you think. You can now get instant price info and order plant-level data for [...]

TECHNOLOGY

Algorithms

Algorithms

  • Extract insights beyond remote sensing data:
    • tree height, count, area coverage
    • wood volume and standing carbon estimates
    • yield estimates, water stress estimation
    • early detection of diseases & pests

Machine Vision

Machine Vision

  • From pictures to data: our machine vision technology developed originally for space applications like Mars and Moon landings, is now deployed in MAPP:
    • detection and probability of landslides
    • segmentation of trees-shrub-ground
    • computation of plant-level data

Drone

Drone

  • S20 micro drone, a fully autonomous high-productivity tool targeted for high resolution aerial imaging with low logistical footprint and operable from anywhere.
    • RGB payload
    • NIR payload (Near Infra-Red)
    • Thermal payload (Thermal Infra-Red)
    • 200ha/h productivity at 100mAGL
    • 5cm/pixel at 100mAGL

Satellite

Satellite

  • Corrected Sentinel-2 imagery: Sentinel-2 is an Earth observation mission developed by ESA as part of the Copernicus Programme to perform terrestrial observations in support of services such as forest monitoring, land cover changes detection, and natural disaster management. It consists of two identical satellites Sentinel-2A and Sentinel-2B.
    • Multispectral payload (R,G,B,NIR,RedEdge,SWIR)
    • 12 bands (440-2200 nm)
    • 10-60 m/pixel
    • 5 days revisit time

PORT WINE

Technology and tradition meet in the Douro Valley. Using remote sensing for precision management of vineyards and selective harvesting.

CORN

Technology and tradition meet in the Douro Valley. Using remote sensing for precision management of vineyards and selective harvesting.

Co-financed by COMPETE 2020, Portugal 2020 and the European Union (ERDF)

Contacts

Rua de Fundões 151
3700-121 S. João da Madeira, Portugal

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