AI-powered AI-powered Plant & Crop Monitoring System Plant & Crop Monitoring System

Plant & Crop Monitoring System
Plant & Crop Monitoring System
  • Region USA
  • Hiring Model Dedicated Team
  • Industry Agritech
  • Platform Mobile
  • Technologies Used Machine Learning & AI
  • Client Associate professor of entomology
    and biology, Penn State
AI-powered Plant & Crop Monitoring System
The Future of Farming
Powered by Innovation, The Future of Farming Lies in the AI
Powered by Innovation, The Future of Farming Lies in the AI
The Future of Farming
50%
Improvement in
Yield
2,00,000 to 5,50,000
Increase in Cassava
leaf dataset size
33%
Decrease in global
crop production losses
Project Overview
From Field to Future With AI

Around the world, farmers were fighting a battle they can't afford to lose—against pests and plant diseases that threaten up to 40% of their crops. These weren’t just numbers - they represented hopes, dreams, and livelihoods. What’s needed is a way to detect and manage these threats early, ensuring crops thrive and the future of AI for farming stays bright using advanced technologies like artificial intelligence, machine learning, and computer vision.

How   Hidden Brains   Helped

Through PlantVillage, we monitored the biomass of crops, which gave farmers valuable insights into their growth patterns.

Harnessing UN satellite data, we integrated machine learning to create a solution with a tangible impact.

Our smart farming and precision agriculture approach leveraged AI to detect and classify plant diseases early, reducing the need for harmful pesticides...

The use of AI for agriculture empowered farmers to protect their crops, enhanced sustainability, and ultimately secured a better agricultural future.

Through PlantVillage, we monitored the biomass of crops, which gave farmers valuable insights into their growth patterns.

Harnessing UN satellite data, we integrated machine learning to create a solution with a tangible impact.

Our smart farming and precision agriculture approach leveraged AI to detect and classify plant diseases early, reducing the need for harmful pesticides...

This AI technology empowered farmers to protect their crops, enhanced sustainability, and ultimately secured a better agricultural future.

Client’s Objectives and  Our  Deliverables

Our client's ultimate agenda was to use AI in the agriculture sector and transform it by developing a satellite crop monitoring system that would allow farmers to reduce crop wastage, salvage the situation, and maximize production. Our client wanted to leverage trending technologies like AI, ML, and computer vision to make a significant agricultural difference.

Expectation

Give a wake-up call to the farmers to predict crop diseases, adapt to the changing climate, and protect crops from destruction.

Create a global platform for the farmers to share their findings, potential risks, and future predictions, and ask peer farmers for assistance.

Reality

Built an intuitive app that pairs with a device camera, clicking images of diseased crops and suggesting a highly accurate preliminary diagnosis, enabling them to make quick decisions.

Created a Q&A forum for farmers all across the globe to post farming queries. It offers advice to help farmers learn about climate-resilient crop varieties, affordable irrigation methods, and flood mitigation and soil conservation strategies, among other best practices.

Give a wake-up call to the farmers to predict crop diseases, adapt to the changing climate, and protect crops from destruction.

Create a global platform for the farmers to share their findings, potential risks, and future predictions, and ask peer farmers for assistance.

Built an intuitive app that pairs with a device camera, clicking images of diseased crops and suggesting a highly accurate preliminary diagnosis, enabling them to make quick decisions.

Created a Q&A forum for farmers all across the globe to post farming queries. It offers advice to help farmers learn about climate-resilient crop varieties, affordable irrigation methods, and flood mitigation and soil conservation strategies, among other best practices.

Building AI-driven Plant Monitoring System  Turning  Challenges into Opportunities

Creating a smart crop monitoring system in an agricultural field presented challenges. But Hidden Brains saw every
challenge as an opportunity and delivered an impactful solution.

Solution

We empowered the system to work offline, allowing farmers to access real-time disease detection and recommendations anytime, anywhere.

Solution

Integrating TensorFlow, the open-source software for numerical computations, was a complex task. However, we pushed boundaries and created a seamless connection between data flow graphs and plant health predictions, ensuring accuracy and reliability.

Solution

A computerized plant diagnostic system was built using AI and ML technologies. Its algorithm is capable of accurately diagnosing 26 diseases in 14 crops. Computers diagnose plant diseases by comparing images of healthy and diseased leaves.

Solution

The latest information on the weather from satellites can be derived using APIs and merged with specific farm data to get the most accurate forecast. The farmers can then receive precise weather reports and real-time information using ML algorithms to extract patterns from these data.

Solution

To ensure that critical data reaches the right people, we integrated Power BI to present disease information on an intuitive map. It allowed scientists at Penn State to analyze patterns and quickly show findings to local governments for early actions to protect crops.

Plant Monitoring System
  • Water Productivity Forecast

    "PlantVillage Nuru" – the AI assistant can collect data from the United Nations WaPOR. It has 10 years of satellite-derived data from NASA to get metrics for crop productivity in available water.

  • Farmer-friendly

    Farmers don't have the technical knowledge to use the app. So, we made it farmer-friendly. They have to point the phone at the infested crop to get an accurate diagnosis with the talking AI assistant, Nuru.

Key  Features 

Our innovative technique enabled farmers to make data-based decisions by giving them real-time plant health information. Providing our clients with this unique capability, we contributed to many farmers locking away their crops, increasing yields, and launching into a sustainable farming future.

  • Vast
    Database

    This AI-powered smart plant monitoring system is one of the largest free libraries for global scientific knowledge on plant diseases. It covers 154 crop types and 1800+ diseases and now houses a huge image database.

  • AI-driven Crop Disease Detection

    Utilizes AI models to detect and diagnose plant diseases based on images, significantly improving early intervention and reducing crop loss. It detects 28 types of diseases in 14+ crops by comparing them with healthy leaves based on satellite images.

  • Satellite Weather Data

    We integrated satellite weather data to provide localized forecasts and help farmers make informed decisions about crop protection based on environmental factors.

  • Offline App Functioning

    Farms are located in rural areas where internet access is not always available. Hence, we added offline functionality. Once downloaded, the app does not require wireless access to cellular data or remote computing power.

  • Smart Farming Insights

    Climate-resilient crops, low-cost irrigation methods, flood mitigation & soil conservation strategies are insights the app provides. Farmers access it at their fingertips to make the right decisions at the right time.

  • Features Image
Key  Features 

Our innovative technique enabled farmers to make data-based decisions by giving them real-time plant health information. Providing our clients with this unique capability, we contributed to many farmers locking away their crops, increasing yields, and launching into a sustainable farming future.

Vast
Database

This AI-powered smart plant monitoring system is one of the largest free libraries for global scientific knowledge on plant diseases. It covers 154 crop types and 1800+ diseases and now houses a huge image database.

AI-driven Crop Disease Detection

Utilizes AI models to detect and diagnose plant diseases based on images, significantly improving early intervention and reducing crop loss. It detects 28 types of diseases in 14+ crops by comparing them with healthy leaves based on satellite images.

Satellite Weather Data

We integrated satellite weather data to provide localized forecasts and help farmers make informed decisions about crop protection based on environmental factors.

Offline App Functioning

Farms are located in rural areas where internet access is not always available. Hence, we added offline functionality. Once downloaded, the app does not require wireless access to cellular data or remote computing power.

Smart Farming Insights

Climate-resilient crops, low-cost irrigation methods, flood mitigation & soil conservation strategies are insights the app provides. Farmers access it at their fingertips to make the right decisions at the right time.

Water Productivity Forecast

"PlantVillage Nuru" – the AI assistant can collect data from the United Nations WaPOR. It has 10 years of satellite-derived data from NASA to get metrics for crop productivity in available water.

Farmer-friendly

Farmers don't have the technical knowledge to use the app. So, we made it farmer-friendly. They have to point the phone at the infested crop to get an accurate diagnosis with the talking AI assistant, Nuru.

How  Hidden Brains Delivered  the Desired  Outcome? 

We followed a hands-on, collaborative approach and focused on what mattered to our client to ensure we delivered the desired results.

Hidden Brains Delivered the Desired Outcome
  • Kanban Approach

    Used the Kanban approach to manage work with multiple stakeholders.

  • Maintained Transparency

    Used the Trello Board to maintain complete transparency regarding the work.

  • Regular Updates

    Incremental release of new features that kept the users motivated with new improvements.

  • On-site Meetings

    Onsite visits with the client to the targeted countries to understand underlying problems.

  • Scalability

    A dedicated team helped a client with the flexibility of scaling up and down.

Used the Kanban approach to manage work with multiple stakeholders.

Used the Trello Board to maintain complete transparency regarding the work.

Incremental release of new features that kept the users motivated with new improvements.

Onsite visits with the client to the targeted countries to understand underlying problems.

A dedicated team helped a client with the flexibility of scaling up and down.

Final Outcomes Transforming Global Agriculture with AI
0k+
Increase in
Datasets
The cassava leaf data sets were massively expanded with advanced augmentation techniques, resulting in expanded data sets and enhanced reliability.
0%
Accuracy in Crop
Disease Detection
The cassava leaf data sets were massively expanded with advanced augmentation techniques, resulting in expanded data sets and enhanced reliability.
0%
More Yields
Decreased crop losses
Decreased crop losses – Increased profits – Happier farmers. AI-driven crop monitoring system making all the difference.
0+
Countries Impacted in
AgriTech Innovation
Established the client as a pioneer in addressing critical farming challenges with a global presence in Kenya, India, Uganda, Egypt, Togo, Malawi, Guinea, and many more.
Final Outcomes Transforming Global Agriculture with AI
300k+
Increase in
Datasets
The cassava leaf data sets were massively expanded with advanced augmentation techniques, resulting in expanded data sets and enhanced reliability.
94.27%
Accuracy in Crop
Disease Detection
The cassava leaf data sets were massively expanded with advanced augmentation techniques, resulting in expanded data sets and enhanced reliability.
10
Years Worth Satellite Data
Vast database with 10 years' worth of satellite-derived data from NASA and computes relevant metrics for crop productivity given the available water.
70+
Countries Impacted in
AgriTech Innovation
Established the client as a pioneer in addressing critical farming challenges with a global presence in Kenya, India, Uganda, Egypt, Togo, Malawi, Guinea, and many more.
Global Leadership in AgriTech Innovation

Established the client as a pioneer in addressing critical farming challenges with a global presence in

  • FAO-FAMEWS
    Countries
    Malawi, Egypt,
    Togo, Guinea
    global location
    border line
  • PlantVilage
    Nuru
    Countries
    Mainly Kenya
    global location
    border line
  • eLocust3m
    Countries
    Uganda, Kenya, Pakisthan, India
    global location
    border line
  • FarmerZone
    Countries
    India
    global location
    border line
Global Leadership in AgriTech Innovation
Global Leadership in AgriTech Innovation
Tech Stack for AI-powered Crop and
Plant Monitoring System

We made agriculture more efficient, intuitive, and future-ready with the right mix of the latest technologies like AI and Machine learning for agriculture.

Core Technologies
  • Python
    Python
  • Swift
    Swift
  • Kotlin
    Kotlin
Database
  • SQLite
    SQLite
  • PostgreSQL
    PostgreSQL
Pre-trained Models/LLMs & APIs
  • Custom CNN
    Custom CNN
Frameworks & Libraries
  • TensorFlow
    TensorFlow
  • Pandas
    Pandas
  • NumPy
    NumPy
  • OpenCV
    OpenCV
  • Django
    Django
Cloud Platforms
  • AWS
    AWS

  • Python
    Python
  • Swift
    Swift
  • Kotlin
    Kotlin

  • SQLite
    SQLite
  • PostgreSQL
    PostgreSQL

  • Custom CNN
    Custom CNN

  • TensorFlow
    TensorFlow
  • Pandas
    Pandas
  • NumPy
    NumPy
  • OpenCV
    OpenCV
  • Django
    Django

  • AWS
    AWS
AI-driven  Smart Crop Monitoring System  in Action

Watch the system in action, changing traditional agriculture into a modern one. Farmers accept innovation and switch ways for success. AI for farmers is not a dream anymore, it is already in action.

AI-driven Smart Crop Monitoring System in Action
We are Happiest When Our Clients Are Happy With Us

Hidden Brains went above and beyond, delivering
exceptional results that exceeded client expectations and
helped them gain their vision with our expertise.They were happy with benefits of AI in agriculture delivered by the solution.

quote icon
Integrating TensorFlow for Offline Functioning

Team Hidden Brains has worked tremendously and easily integrated this complex
functionality into our system. They were good at their job and provided continuous
support. I will work with them for all my future projects and recommend them to others.

Mr. David Hughes
Play Button Watch Video Now
Mr. David Hughes
United States
Mr. David Hughes
Play Button Watch Video Now
Mr. David Hughes
United States
Integrating TensorFlow for Offline Functioning

Team Hidden Brains has worked tremendously and easily integrated this complex
functionality into our system. They were good at their job and provided continuous
support. I will work with them for all my future projects and recommend them to others.

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