Crop Health App - Farmer's friend

About Client Profile

They are a UK-based technology start-up whose corporate headquarters is in Manchester, a city that is notably known for its culture, architecture, and sports teams. They wanted to harness the potential of Agriculture App development and provide the best agriculture practices that can revolutionize their traditional farming practices and cope with the regular challenges.

Corporate Headquarters: Manchester, UK

Line of Work: Agriculture technology

Project background

In the field of agriculture, they wanted to provide comprehensive solutions to their intended customers, who are farmers. They faced many challenges, such as crop damage by pests, unpredictable weather patterns to get precise market insights, and more.

They approached the Zenesys team to build something exceptional in the Agriculture App Development that can resolve all the farmer's challenges and give them practical solutions such as crop disease diagnosis, real-time weather updates, personalized recommendations, and connect farmers with industry experts to get reliable market insights.

Technology stack

 Platform  Tech Used  Use
 Frontend  React Native  For exceptional cross-platform compatibility and a native-like user experience.
 Backend  Node.js and Express.js  For a robust and efficient server-side architecture.
 Database  MongoDB  For flexible data storage and querying
 Machine Learning  TensorFlow and Keras  For image recognition and disease/pest identification.
 Cloud Platform  AWS (Amazon Web Services)  For reliable infrastructure and hosting

Key Challenges

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1. Inaccurate crop diagnosis

Farmers couldn't be able to diagnose their crops, such as identifying crop diseases and pests. The result? They suffered a substantial potential crop loss.

2. Inappropriate crop advice

They didn't have any system that could give them personalized advice, and often, the generic advice they received from their environment couldn't help them increase their crop yields.

3. Inefficient weather information

They wouldn't be able to get a timely and most-accurate weather forecast. The outcome? It became difficult for them to make better decisions when it came to planting and harvesting.

4. Lack of expert communication

They wouldn't be able to get a timely and most-accurate weather forecast. The outcome? It became difficult for them to make better decisions when it came to planting and harvesting.

5. Inconsistent market data

They were unable to get the relevant market data such as crop sales, price trends, government policies, and more.

Zenesys Solutions

1. Accurate crop diagnosis

We integrated solutions based on machine learning models that can effectively make crop diagnosis easier as farmers can easily upload their images to get valuable insights.

2. Personalized recommendation feature

By incorporating the exceptional backend architecture, the farmers received personalized recommendations that helped them reduce their crop loss and increase yields.

3. Real-time weather integration

We integrated the most efficient weather forecast feature that can help farmers to get real-time updates.

4. Expert chat reliability

Zenesys team developed a seamless communication channel that can effectively connect farmers with agriculture experts for meticulous planning.

5. Market insights integration

The farmers could able to get accurate and timely market data, which helps them to save their time and money.

Key Features

Real-time updates on case progress

Scalable server-side architecture

Expert chat connectivity

Real-time weather insight and forecasting

Reliable infrastructure and hosting

Cross-platform compatibility

Results/ Outcomes of App


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 Outcomes  Description
 Reduced crop loss  They got the accurate crop diagnosis by uploading images with the help of machine learning models.
 Increased crop yields  With the help of personalized recommendations and robust architecture, farmers were able to increase their yields.
 Accurate weather forecast  With the integration of accurate time, weather forecasts, and data, the farmers can plan their activities accordingly.
 Result-oriented expert guidance  The introduction of seamless communication channels such as chat features helped farmers to get personalized, relevant guidance to their problems.
 Enhanced sales decisions  By getting the right market insights, such as crop prices and trends, farmers were able to make informed decisions.