SolutionUpdated on 16 March 2026
Quadcopter and fixed-wing drones
Grant manager at LLC TRYPILLIAN GLIDERS
About
Drones (UAVs) are increasingly being used in agriculture, as they enable the rapid collection of accurate data on the condition of fields, optimise resource use and boost crop yields. The main areas in which they can be applied are:
1. Crop monitoring
Drones can carry out regular flights over fields and collect data using cameras and sensors. This allows for: determining the condition of plants, detecting diseases, pests or plant stress, assessing soil moisture levels, and analysing uneven crop growth.
The images obtained can be processed using specialised software to create NDVI maps, which indicate plant health.
2. Field mapping and analysis
UAVs can create high-precision field maps, which are used for: crop planning, terrain assessment, identifying areas with varying soil productivity, and planning irrigation and drainage systems.
3. Irrigation monitoring
Drones equipped with thermal cameras can identify areas with water shortages or surpluses, helping to optimise the irrigation system.
4. Yield estimation
Using aerial photography, farmers can forecast yields even before harvest, which helps with: planning logistics, concluding sales contracts, and optimising the use of machinery.
5. Livestock monitoring
In livestock farming, drones are used to: search for lost animals, monitor the condition of pastures, and survey large areas.
6. Environmental monitoring
Drones can assist with: monitoring soil conditions, detecting erosion, and monitoring forest belts and natural ecosystems.
Benefits of using drones in the agricultural sector:
• reducing resource costs (fertilisers, water, pesticides);
• increasing crop yields;
• rapid data collection over large areas;
• more environmentally friendly farming practices.
Type
- Artificial Intelligence for agriculture
- UAV / Drone solutions
- Precision farming technologies
Similar opportunities
Solution
mYard - Soil Protection & Optimised Inputs
- UAV / Drone solutions
- Quality monitoring systems
- Water management technologies
- Precision farming technologies
- Decision Support Systems (DSS)
- Sustainable production technologies
- Data analytics & predictive modelling
- Artificial Intelligence for agriculture
- Custom software development for agrifood
Sandor Fehervari
Product Developer at mYields Kft
Challenge
Precision Irrigation Intelligence for Olive Groves
- Water management
- Automation needs
- Data integration
- Precision agriculture
- Productivity optimisation
- Sustainability monitoring
Clara Paredes Castro
Head of Marketing Growth at ACUSHLA SA
Solution
Soil, plants and other cultivation areas, and crop optimisation
- Other digital solution
- Farm management software
- Smart irrigation systems
- Quality monitoring systems
- Energy efficiency solutions
- Water management technologies
- Precision farming technologies
- Decision Support Systems (DSS)
- Sustainable production technologies
- Data analytics & predictive modelling
- Traceability & supply chain digitalisation
Joan Ribal
CTO at efizum