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IISL Leaf Detect For PC | How To Download (Windows/Mac)

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ing Robot

Leaf detecting robot is designed to identify and detect leaves in a particular area. It is equipped with sensors that can detect the presence of leaves and then send a signal to the robot’s controller to activate the robot’s motors to move towards the leaves. The robot is then able to pick up the leaves and move them to a designated area.

This article is all about helping you get to know the IISL Leaf Detect for PC better and install it on your PC. Here are the technical specifications you want to know about beforehand:

IISL Leaf Detect App Specification
App Name: IISL Leaf Detect On Your PC
Devoloper Name: InTime Information Systems Pvt Ltd
Latest Version: 1.1.5
Android Version: 5.0
Supporting OS: Windows,7,8,10 & Mac (32 Bit, 64 Bit)
Package Name: intime.machinelearning.leafdetect
Download: 0+
Category: Education
Updated on: Nov 15, 2019
Get it On:


IISL Leaf Detect Andorid App Summary

The IISL Leaf Detect was developed by the popular developer agency named InTime Information Systems Pvt Ltd. They have the IISL Leaf Detect in the Education category of the Google Play Store. You can find the latest version, which is 1.1.5, on Play store now.

As it has a hefty 0 user base, you can rely on it for the job it does. For the user rating, you’re looking at a 0.0 rating for ease of use and how well it works. With IISL Leaf Detect latest features, good ratings, and frequent updates, you’ll be happy with it.

Nov 15, 2019 was the last date the IISL Leaf Detect was updated with new features. If you want to use the IISL Leaf Detect on your computer, you have to use an emulator like BlueStacks, NOX player, and Memu Emulator.

Using these can be overwhelming. But, no worries, we’ve got your back. We’ll guide you to install the emulator and the IISL Leaf Detect using the emulator later on.

How To Install & Download IISL Leaf Detect For PC Windows 10/8/7

Installing the IISL Leaf Detect using NOX player is a fairly simple process. Using this emulator is a great way to use any Android app on a PC. Here are the steps you’ll have to follow to install the IISL Leaf Detect on your PC:

  • Download the NOX player on your computer and install it by double clicking the installation file from download folder.
  • It will take a few minutes to install on your PC. The time will depend on the specs of your computer. The higher the specs, the faster the installation.
  • Once installed, you’ll see the Play store icon on the top right corner area of NOX Player emulator.
  • Open the Play store app, and log into your google account. Then, you’ll see the familiar interface you see on your phone.
  • Click on the search bar, and search for IISL Leaf Detect here. You’ll see it on the search result page in the first position.
  • Choose the first result and click on the Install button on screen. This will start downloading the app on your computer.
  • As it’s now installed on your PC, no problem running it. You can launch the app from the NOX player homepage or your Desktop.

Features of IISL Leaf Detect for PC

tomato spider mites
37 tomato target spot
38 tomato verticillium wilt

IISL Leaf Detect App Overview and Details

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


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

Whats New In this IISL Leaf Detect?

upgrade to tensorflow 1.15.0 based model


The IISL Leaf Detect application is a great way to help detect leaves on trees. It is a very accurate and easy to use application. It is a great tool to help identify leaves on trees.

Before we complete the guide, do you have more questions regarding the emulator above or the IISL Leaf Detect of any kind? Don’t feel grounded, just let us know, and we’ll help you resolve it.


We refer the ownership of This IISL Leaf Detect to its creator/developer. We don’t own or affiliate for IISL Leaf Detect and/or any part of it, including its trademarks, images, and other elements.

Here at nysga, we also don’t use our own server to download the IISL Leaf Detect. We refer to the official server, store, or website to help our visitors to download the IISL Leaf Detect.

If you have any query about the app or about nysga, we’re here to help you out. Just head over to our contact page and talk your heart to us. We’ll get back to you ASAP.

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