Smart Agri-Kit Development: Drone, Sensors, App
Budget: €10,000 – €20,000 EUR
We are seeking an innovative team of freelancers to develop an affordable and autonomous smart agriculture kit. This project centers on creating a cost-effective, compact drone capable of autonomous operation, equipped with essential cameras for efficient terrain analysis. The kit will also include ground-based sensors for humidity and temperature, paired with an AI-powered mobile application that integrates data from both the drone and the sensors to deliver insightful agricultural analytics.
Project Objectives:
• Design and develop a low-cost, efficient, autonomous drone (budget approx. 500 ) for agricultural surveying.
• Implement automatic navigation and data collection capabilities in the drone.
• Develop ground-based environmental sensors for monitoring soil conditions.
• Create an AI-integrated mobile app to analyze and interpret data, providing comprehensive farming insights.
1. Drone/Hardware Engineer: Expertise in drone design and electronics, focusing on compact and efficient models suitable for agricultural use.
2. Environmental Sensor Engineer: Skills in creating effective ground-based sensors for measuring agricultural environmental conditions.
3. Software and Mobile App Developer: Proficient in app development, database management, and AI integration, tasked with creating a user-friendly interface for data visualization and analysis.
4. AI/Data Analytics Specialist : Background in machine learning, especially in data interpretation and predictive modeling.
Deliverables:
• A functional prototype of an autonomous drone tailored for agricultural purposes.
• Reliable ground-based sensors for accurate environmental monitoring.
• A sophisticated mobile application combining AI for in-depth analysis of diverse agricultural data.
• Comprehensive technical documentation, including user manuals and maintenance guides.
Features for the App:
- Real-time data monitoring: The application should be able to provide real-time updates about the status of the crops.
- Crop health analysis: The software should consistently analyze the health of crops using data from the environmental sensors and the drone.
- Drone control: The application needs to have an intuitive interface for controlling and programming the drone flights.
Environmental Sensors:
- Soil Moisture: An integral part of the smart kit is a soil moisture sensor for optimum watering.
- Temperature: To ensure the best conditions for growth, a high-accuracy temperature sensor is also necessary.
- Humidity: A relative humidity sensor will help monitor the general health and growth conditions of the crops.
Project Objectives:
• Design and develop a low-cost, efficient, autonomous drone (budget approx. 500 ) for agricultural surveying.
• Implement automatic navigation and data collection capabilities in the drone.
• Develop ground-based environmental sensors for monitoring soil conditions.
• Create an AI-integrated mobile app to analyze and interpret data, providing comprehensive farming insights.
1. Drone/Hardware Engineer: Expertise in drone design and electronics, focusing on compact and efficient models suitable for agricultural use.
2. Environmental Sensor Engineer: Skills in creating effective ground-based sensors for measuring agricultural environmental conditions.
3. Software and Mobile App Developer: Proficient in app development, database management, and AI integration, tasked with creating a user-friendly interface for data visualization and analysis.
4. AI/Data Analytics Specialist : Background in machine learning, especially in data interpretation and predictive modeling.
Deliverables:
• A functional prototype of an autonomous drone tailored for agricultural purposes.
• Reliable ground-based sensors for accurate environmental monitoring.
• A sophisticated mobile application combining AI for in-depth analysis of diverse agricultural data.
• Comprehensive technical documentation, including user manuals and maintenance guides.
Features for the App:
- Real-time data monitoring: The application should be able to provide real-time updates about the status of the crops.
- Crop health analysis: The software should consistently analyze the health of crops using data from the environmental sensors and the drone.
- Drone control: The application needs to have an intuitive interface for controlling and programming the drone flights.
Environmental Sensors:
- Soil Moisture: An integral part of the smart kit is a soil moisture sensor for optimum watering.
- Temperature: To ensure the best conditions for growth, a high-accuracy temperature sensor is also necessary.
- Humidity: A relative humidity sensor will help monitor the general health and growth conditions of the crops.