App Intel

IISL Leaf Detect Live

sanjeev kumar 07900629 apps · 3.9K installsEducation$4.99intime.machinelearning.leafdetect

It can detect a leaf using Machine Learning TensorFlow Model

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Total installs
0
exact · Play shows 0+
Installs / day
—
measured after our second crawl (about a day)
Rating
—★
— ratings · — reviews
Released
29 Jul 2018
8.2y ago
Last update
4 Feb 2025
v1.1.6 · 1.7y ago
Countries
—
not checked yet

Install history

exact counter from Google Play
00.30.50.8110 Oct11 Oct11 Oct
00.30.50.8110 Oct11 Oct11 Oct

Installs per day · last 90 days

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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

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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.

Store listing

Full description
This App has three level of detection of Healthy plant Leaf recognition , Infected Plant Leaf and Infected Plant Disease Name using the standalone deep learning model. we are making efforts to optimise model & inclusion of new leafs and its disease info in every next release. A. It can detect 31 type of plant disease of plant Potato, tomato and Corn Potato_healthy Infected_Potato_Early_blight Potato_Early_blight_Spot Infected_Potato_Late_blight Potato_Late_blight Tomato_healthy Infected_Tomato_Septoria_spot Tomato_Septoria_spot Infected_Tomato_Spider_mites Tomato_Spider_mites_Spot Infected_Tomato_Target_Spot Tomato_Target_Spot Infected_Tomato_Curl_Virus Tomato_Curl_Virus_Spot Infected_Tomato_mosaic_virus Tomato_mosaic_virus_Spot Infected_Tomato_Leaf_Mold Tomato_Leaf_Mold_Spot Infected_Tomato_Bacterial_spot Tomato_Bacterial_spot Infected_Tomato_Early_blight Tomato_Early_blight_Spot Infected_Tomato_Late_blight Tomato_Late_blight_Spot Corn_healthy Infected_Corn_Common_rust Corn_Common_rust_Spot Infected_Corn_Gray_leaf Corn_Gray_leaf_Spot Infected_Corn_Northern_Blight Corn_Northern_Blight_Spot B . It can recognise following 38 type of plan leaf diseases 1 apple scab 2 apple black rot 3 apple cedar rust 4 apple healthy 5 blueberry healthy 6 cherry healthy 7 cherry powdery mildew 8 corn common rust 9 corn healthy 10 corn gray leaf spot 11 corn northern leaf blight 12 grape black measles 13 grape black rot 14 grape healthy 15 grape leaf blight 16 orange citrus greening 17 peach bacterial spot 18 peach healthy 19 pepperbell bacterial spot 20 pepperbell healthy 21 potato early blight 22 potato healthy 23 potato late blight 24 raspberry healthy 25 soybean healthy 26 squash powdery mildew 27 strawberry healthy 28 strawberry leaf scorch 29 tomato bacterial spot 30 tomato early blight 31 tomato healthy 32 tomato late blight 33 tomato leaf mold 34 tomato mosaic virus 35 tomato septoria leaf spot 36 tomato spider mites 37 tomato target spot 38 tomato yellow leaf curl virus A. It can detect following 251 healthy leafs using model. Quercus_suber, Tilia_tomentosa, cryptomeria_japonica, diospyros_virginiana, eucommia_ulmoides evodia_daniellii, fagus_grandifolia, ficus_carica, fraxinus_americana, fraxinus_nigra, fraxinus_pennsylvanica ginkgo_biloba, Acer_palmaturu and like More

What's new

Updated to SDK32

Growing in Education

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