Topic

Agricultural Robotics Technical Report

Agriculture Robotics

Universidad Francisco de Vitoria - Escuela Politécnica Superior

Group 6: Jorge Enrique Lara Tondorf, Jerónimo Gast, Juan Martín-Gil Fanconi, Alfonso Lozano Hernando, Borja Rincón Lozada

1. Introduction & Motivation

Agricultural robotics involves automated machines designed for farming tasks such as planting, harvesting, and crop monitoring with minimal human intervention. These systems utilize technologies like AI, machine learning, and GPS to improve precision and productivity.

The team's motivation was inspired by the film Interstellar, which portrays an autonomous farm where manpower is minimal and efficiency is maximized. The objective is to analyze how these machines can replace repetitive or "boring" tasks currently performed by humans.

2. Market Growth and Necessity

The agricultural robot market grew from USD 6.6B in 2019 to USD 12.6B in 2023. It is projected to increase by 18.3% during the 2025-2032 period. This growth is driven by global population increase and decreasing labor force; the sector must increase productivity by 60% by 2050 to meet food demands.

3. The 8 Main Types of Agricultural Robots

Robot Type Core Functionality
Planting and Seeding Automate seed sowing with precise placement, soil digging, and fertilization.
Harvesting and Picking Use vision systems to detect ripeness and pick fruits or grains automatically.
Drones Act as the "eyes" of the farm, monitoring crops and applying pesticides over large areas.
Crop Sprayers Precise delivery of chemicals to specific locations to prevent food contamination and pollution.
Weeding and Mowing Identify and remove weeds using lasers, herbicides, or mechanical tools.
Sorting and Grading Categorize products by size, color, or quality using cameras and sensors.
Autonomous Tractors Handle time-consuming tillage tasks, saving farmers both time and money.
Livestock Management Automate milking, feeding, and egg collection to improve efficiency and animal welfare.

🏆 Market-Leading Examples

  • Lely Astronaut: Leader in automatic milking systems with 50,000+ installations globally.
  • FarmWise Titan FT-35: Autonomous weeding robot using AI trained on millions of images.
  • John Deere See & Spray: Selective spraying taking 2,100 images/second.

4. Technical Capabilities & Future Trends

Modern robots navigate fields autonomously using LIDAR sensors and wheel encoders, allowing them to move between crop rows without human help.

The future relies on two pillars:

  • AI: Learn from data, detect diseases, recognize growth patterns.
  • IoT: Connect soil sensors, weather stations, drones into a smart ecosystem.

5. Ethical and Social Perspectives

The "4th agricultural revolution" presents critical challenges:

  • Power Centralization: High costs favor large corporations, displacing independent farmers.
  • Data Privacy: Companies might use farm data for stock market advantages.
  • Cybersecurity: Connected machinery vulnerable to hackers.
  • Environmental Impact: Heavy machinery compacts soil; manufacturing uses lithium.
  • Job Displacement: Initial layoffs in rural communities.

6. Conclusion

Agrorobotics offers a sustainable solution for a growing world, but its success depends on collaboration between humans and robots. While technology handles repetitive and dangerous tasks, human oversight remains essential for planning, data analysis, and ethical regulation.