App Intel

SHEET Live

SUNBURN AND HEAT PREDICTION IN CANOPIES FOR EVOLVING A WARNING TECH SOLUTION

Alert me★ WatchOpen in Play ↗
Total installs
221
exact · Play shows 100+
Installs / day
—
measured after our second crawl (about a day)
Rating
—★
— ratings · — reviews
Released
22 Nov 2023
2.9y ago
Last update
29 Aug 2024
v1.0.2 · 2.1y ago
Countries
—
not checked yet

Install history

exact counter from Google Play
215.9286.9357.942950010 Oct11 Oct11 Oct
215.9286.9357.942950010 Oct11 Oct11 Oct

Installs per day · last 90 days

Not enough history yet — check back tomorrow

Change timeline

No changes recorded yet. We compare every crawl with the previous one and list title, icon, screenshots, description, version, price and availability changes here.

Country availability

Availability has not been checked for this app yet. “Check all countries” looks the app up in about 140 Google Play storefronts and shows where it is live, listed but not installable, or missing — plus any country-specific (custom) store listings.

Top countries

Country data will be available soon.

We estimate where downloads come from using the app’s position in Google Play’s top charts in about 140 countries. This app is not in any chart we have collected yet; the estimate appears as soon as it is.

Top chart positions

Not in any tracked top chart.

App manifest

Read this app's manifest from Google Play: permissions, declared SDKs, components and AdMob app ID. Saved analysis appears here automatically.

Manifest analysis reads only the required APK ranges. Base APK downloads may need separate device splits to install.

Permissions

9 in 3 groups
3 Sensitive2 Notable4 Routine

What this app can do with your phone

  • Know roughly where you are, using mobile towers and Wi-Fi networks
  • Know your exact location using GPS, Wi-Fi and mobile networks
  • Use your camera to take photos and record videos
LocationSensitive2

Access to where your device is, using GPS or network signals

  • Know roughly where you are, using mobile towers and Wi-Fi networksapproximate location (network-based) · ACCESS_COARSE_LOCATION
  • Know your exact location using GPS, Wi-Fi and mobile networksprecise location (GPS and network-based) · ACCESS_FINE_LOCATION
CameraSensitive1

Access to your camera to take photos and record video

  • Use your camera to take photos and record videostake pictures and videos · CAMERA
OtherNotable6

Access to miscellaneous device features that don't fit other categories

  • Start itself automatically as soon as your phone finishes turning onrun at startup · RECEIVE_BOOT_COMPLETED
  • Keep your phone's processor or screen from going to sleep, which can use more batteryprevent device from sleeping · WAKE_LOCK
  • Check whether you are online and whether you use Wi-Fi or mobile dataview network connections · ACCESS_NETWORK_STATE
  • Turn your phone's flashlight on and offcontrol flashlight · FLASHLIGHT
  • Connect to the internet to load content and send datafull network access · INTERNET
  • Make your phone vibratecontrol vibration · VIBRATE

Sensitive = can reach personal data, location, camera/mic or act on your behalf. Notable = changes how your device behaves. Routine = normal for almost every app. Source: Google Play's permission list for all versions of this app.

Store listing

Full description
This mobile App provides a tool for using a risk model for fruit damage due to exposure to global radiation in viticulture and apple production. The SHEET App is intended to support the decision making on measures for avoidance of heat damage in orchards and vineyards. This App is designed to address growers, extension service, and research. Present version: The model was developed in experimental grape production in Bologna, Italy, and experimental apple production in Bologna and Potsdam, Germany. The models were developed for the particular growing conditions and need to be adapted to your location! A. Check out: The SHEET App provides probability models for heat damage in grape and apple production. The two probability models are based on deep learning approach, which requests to be validated and adapted to specific fields. Please compare the risk recognized by this mobile App with own experiences. B. Contribute: The SHEET App will be further developed in a community approach targeting the use of thermodynamic model and advanced deep learning approach. This SHEET App, therefore, provides the option to upload own data from the fruit production. Your participation in the further development will be recognized in a list of contributors. The project was supported by the ICT-AGRI-FOOD call (funders: MIPAAF, Italy, BMEL, Germany, NRDIO, Hungary), within the project SHEET (https://ictagrifood.eu/node/44656). The SHEET project is coordinated by Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Germany. Project partners are Hungarian University of Agriculture and Life Sciences / Magyar Agrár- és Élettudományi Egyetem (MATE); Alma Mater University Bologna / Department of Agricultural and Food Sciences (UNIBO), and Cloudflight.

Growing in Libraries & Demo

Category →