Instant Leaf Detect For PC – Free Download For Windows And Mac

ives

Instant Leaf Detectives is a startup company that provides a mobile app for users to identify and report trees in need of maintenance. The app includes a map of the user’s location and a list of trees in the area. The user can select a tree and report its condition, including information on the type of tree, location, and any maintenance issues.

The app was created by two environmental science students who were looking for a way to make it easier for people to report trees in need of maintenance. The app is free to download and easy to use. Users can report trees in a matter of seconds.

Instant Leaf Detectives is committed to helping people protect and improve the environment. The app makes it easy for people to

Installing and using the Instant Leaf Detect for PC will be easy if you know its technical specifications first. Let’s get you through them real quick:

Instant Leaf Detect Andorid App Summary

InTime Information Systems Pvt Ltd has developed the Instant Leaf Detect application for Android mobiles. You will find this app under the Education category on Play Store. Instant Leaf Detect has over 2 users with a great 0.0 rating overall. The latest version of Instant Leaf Detect is currently 1.1.9.

The latest upstate time of the Instant Leaf Detect is Nov 15, 2019, meaning that the developers keep it up to date. As you cannot use it directly on a computer, you have to use an Android emulator. We prefer using BlueStacks, Memu, or Nox Player as the best ones in the market.

To help you install the Instant Leaf Detect on your PC, we’ll also include a detailed guide in this article.

Instant 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

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

C. 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

Features of Instant Leaf Detect for PC

tomato target spot
37 tomato verticillium wilt
38 tomato whitefly

Download

Download & Install Instant Leaf Detect On Your Pc: Windows 10/8/7

Installing Instant Leaf Detect on a windows computer requires you to install the popular Memu emulator first. If you want a way of how to install it, here is a step by step guide of getting it done:

• Step 1: Download the Memu android emulator on your computer from here and install it.
• Step 2: In the app, you can see the regular interface you usually see in a tab or an android phone.
• Step 3: To access the Play store, you need to log into y oru Google account with your Gmail account.
• Step 4: Log in, go to the search bar of Play store, and search for the Instant Leaf Detect. It will appear in the first result.
• Step 5: Click on the Instant Leaf Detect, and install the app on your computer. You won’t take more than a minute or so to complete the process.

Whats New In this Instant Leaf Detect?

updated to latest version but tensorflow is still on 1.13.1

Conclusion

Instant Leaf Detect is an application that helps identify leaves by taking a picture of them and providing information about the leaf such as its name, where it is from, and what it is used for. This application is beneficial to those who are interested in plants and want to learn more about them.

Did the guide help you download and install the Instant Leaf Detect for PC? We’re glad if you have found it helpful. If you have questions regarding the emulator or the Instant Leaf Detect, let us know below.

Disclaimer

We refer the ownership of This Instant Leaf Detect to its creator/developer. We don’t own or affiliate for Instant 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 Instant Leaf Detect. We refer to the official server, store, or website to help our visitors to download the Instant 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.