KazrobotiX

Innovative Autonomous Robot for precise pest identification and spraying using Computer Vision and Machine Learning

Key problems:

Inefficient pesticide use: High expenditure of resources and efforts.
Negative impact of pesticides: Strong detrimental effects on soil quality and the environment.
Labor hiring issues: Waste of resources due to staffing needs.
Solution:
An innovative autonomous robot for precise pest identification and spraying using computer vision and machine learning.

Reduced herbicide usage: Addressing the issue from an environmental perspective.
Cost savings
Automation of the process: Since our robot is autonomous, it can operate without human intervention.

YoloV10 Segmentation, ML & DL, CV, AI in General, Classification and Segmentation Algorithms for Plant Health Analysis, Dynamic Programming Algorithms and Graph Models for Efficient Robot Movement on the Field, Pytorch

Working solution

Currently used:

Farmers' households (vegetable fields in Akmolinsk and Kostanay regions)
In the future:

Flower fields, grain, and fruit crops in the western and southern parts of Kazakhstan.

During 3 weeks of testing and field work in the Akmolinsk region, the prototype successfully cultivated 17-25 hectares of land (crops: cabbage and carrots) and reduced herbicide usage by 12.5%, or 15 liters of chemicals.

The project has already attracted $30,000 in investments and is finalizing sales agreements with leading agro companies in Kazakhstan.

Economic impact:

Cost reduction: Automation reduces the need for manual labor and chemicals by up to 40%, equivalent to savings of up to $100,000 or more annually for a medium-sized farm.

Increased yield: Precision farming improves the efficiency of fertilizer and water usage, increasing crop yields by 15-20%.

Resource optimization: Reduces crop loss due to untimely detection of pests or weeds by 25%.

Social impact:

Job creation: Creation of new high-tech jobs for servicing and developing robotic systems.
Reduced ddependence on seasonal labor: Increased stability for farms by reducing reliance on seasonal workers.
Environmental impact:

Reduced chemical use: Precise herbicide application reduces soil and water contamination by 30%.
Water usage optimization: More accurate irrigation control results in a 20% reduction in water consumption.

Key advantages:

Robot wheels (the robot features specialized wheels that evenly distribute its weight, preventing soil compaction and degradation, unlike competitors who use narrow wheels that can damage the soil)
The modular design of our robot allows it to be used for various other farming tasks, providing more versatility for the farmer.

Electric power (Main Power Supply)

KazrobotiX:
Future Plans

Scaling:

Expansion to international markets, starting with neighboring Central Asian countries (Uzbekistan, Kyrgyzstan), where agriculture plays a key role.
Expansion into regions with warm climates, such as the Middle East, North Africa, and South Asia, where similar issues with labor costs, drought, and agricultural efficiency are relevant.
Increase in production capacity to reduce the cost of robotic systems.
Potential Development Directions:

Development of specialized solutions for viticulture, citrus, and other crops typical for warm countries.
Integration of AI-based forecasting technologies, so that farmers can more easily plan plantings and harvests based on weather conditions and economic factors.
Creation of fully autonomous robots, powered by solar energy, which is especially relevant for regions with high levels of solar insolation.
Collaboration with international agrotechnical companies to implement KazrobotiX technologies in greenhouses and large agricultural plantations.

Samsung KZ, Ayala FOND, TechGarden