Plant Scope We help farmers find more efficient ways to protect their crops diseases by leverages computer vision to monitor and precisely detect plants diseases Consult us Plant Scope Plant Scope uses algorithms to integrate and analyze the captured images and data to provide a detailed report on the health accurate and a faster way to detect diseases and pests in plants Consult us Plant Scope Our Multi-spectral & hyper-spectral imagery are used to measure the responses of plants in the visible & near infrared parts of the electromagnetic spectrum to remotely detect plant stress Consult us Plant Scope We help farmers find more efficient ways to protect their crops diseases by leverages computer vision to monitor and precisely detect plants diseases Consult us Plant Scope Using images captured by a drone, it sends it in an offline way to the farmer’s mobile phone (App) and to our server, our mobile App does the processing and sends you real-time results Consult us

Plant Scope

Disease can negatively impact plant health before any visible signs like leaf discoloration. While these stresses are invisible to our naked eye, drone cameras using special filters could detect these subtle changes in real-time. Evidence has shown that drone remote imagery can help to identify disease related stress in plants. However, could the spectral signatures of infected plants be unique enough to differentiate the causal disease remotely and how could we use this to reduce the burden on inspectors in the field or better target our inspections? Our Multi-spectral and hyper-spectral imagery are often used to measure the responses of plants in the visible and near infrared parts of the electromagnetic spectrum to remotely detect plant stress using drone technology.

About Us

How It Works

Plant Scope uses Deep Neural Networks based on the recognition of Plant Diseases by Leaf Image Classification dataset to detect diseases and pests in plants. Using images captured by a drone camera with various resolutions, it sends it in an offline way to the farmer’s mobile phone (App) and to our server, our mobile App does the processing and sends you realtime results. It then broadcasts messages to the nearby farmers in the communities to allow them to get the specialized agronomist and their location. Currently, the database has over 800 photos and covers eight crops. Every time a farmer uploads a photograph for diagnosis, it will be time-marked and geo-referenced. Hence, the database also facilitates pest and disease outbreak monitoring and can send early warning messages for specific locations in realtime.

In Need of a Drone to Survey Your Farm? Contact us Today

We are Efficient

Our company help farmers find more efficient ways to protect their crops from diseases by leveraging computer vision, Machine learning and Deep Learning to monitor and precisely detect plant diseases.

We Think Big

Our drones detect plant disease before any visible signs show, allowing farmers to stop infections in their tracks using UAV to detect real time pests and diseases.

Smart Tech

Allowing farmers to identify stress before full infection occurs is particularly important as the climate changes. An unpredictable environment makes it challenging to track and forecast disease.

How the System Works

We train and test our systems end-to-end on our large Pests and diseases Data set, which contains challenging images with diseases and pests, including several inter and extra class variations, such as infection status and location of the plant where it has been taken from. Experimental results show that our proposed system can effectively recognize seven different types of diseases and pests, with the ability to deal with complex scenarios from a plant’s surrounding area. Diseases reduce yields when we need them to be high, as the global population grows and we need to feed more people than ever. Reducing yield loss to diseases like Cercospora leaf spot in Maize, Rice Tungro disease, cassava mosaic disease and many others will allow us to grow more food, more efficiently and on less land, benefiting the agricultural industry, the public and the environment.

A farmer can use a drone to detect any anomalies, upload a photo of infected crops and send it offline to the farmer’s mobile app. The mobile app does the processing, it  broadcasts that disease to the nearby farmers within that community with all descriptions about that disease, the contact and location of the specialized  agronomist to work on that crop and give advice in real-time. Besides giving a diagnosis and steps to mitigate the disease, the app also provides information on preventing the disease in the next cropping season.

Plants We Support

With the power of machine learning, we integrate the latest technologies into agriculture and make them accessible to everyone at all times. This is our contribution to securing global food production. Specializing in agricultural crops that feed the world, Plant Scope empowers farmers to make a living by providing comprehensive support on all issues that are important to farmers.

Discover the benefits of using the Plant Scope App

Plant Scope uses algorithms to integrate and analyze the captured images and data to provide a detailed report on the health accurately and faster to detect diseases and pests in plants. This helps farmers in early treatment technique while substantially reducing economic losses. The ability to control disease early enough is a top priority for farmers and an ongoing challenge such as herbicide resistance becomes more common.

How It Works

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No Lab Needed

Our system uses images of plant diseases and pests taken in-place, thus we avoid the process of collecting samples and analyzing them in the laboratory.

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Our Approach

Our approach uses input images captured by different camera devices with various resolutions such as drone, cell phone and other digital cameras.

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It's Efficient

It can efficiently deal with different illumination conditions, the size of objects, and background variations, etc., contained in the surrounding area of the plant.

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