SATY - Smart Agriculture: From Drone to AI, Elevating Vietnamese Farmland Industry

Retail - Agriculture

Industry

Technology

Overview

SATY is proud to be one of the pioneers in applying drone technology in agriculture, with a strong focus on building a sustainable and environmentally friendly agricultural future. The company is committed to ESG principles, especially in reducing carbon emissions and creating a sustainable working environment. SATY consistently aims for sustainable agriculture aligned with conservation principles, ensuring food supply, improving farmers' livelihoods, and protecting the environment.

Challenges

Optimizing agricultural drone operations

Farmers use drones for spraying, but:

• There is no system to determine optimal flight paths

• Over-spraying → cost waste

• Uneven spraying → low efficiency

• Time-consuming and labor-intensive operations

Problems:

• How can drones automatically calculate optimal flight paths?

• How to reduce chemical usage while maintaining effectiveness?

Pest and crop condition identification

Farmers face difficulties in:

• Distinguishing different types of pests and diseases

• Identifying root causes (nutrient deficiency, fungi, pests, etc.)

• Making accurate treatment decisions

Problems:

• Automatically identify from images (leaves, stems, fields)

• Provide diagnosis, predict developments, and recommend timely treatment and prevention measures

Large-scale agricultural data storage and utilization

Data includes:

• Drone images

• Monitoring video IoT data (humidity, temperature, etc.)

Problems:

Need an efficient storage strategy that optimizes cost while ensuring data accessibility when needed

Solutions

Optimizing drone flight paths & operations

Solution:

Services used:

• AWS IoT Greengrass

• Amazon Location Service

• Amazon EC2 (GPU - AI model training)

Drones integrate AWS IoT Greengrass to:

• Process data at the edge (in the field)Operate even without internet connectivity

• Use Amazon Location Service to:Determine location and field mapping

• Calculate optimal flight paths (path optimizatio

Use EC2 GPU to train AI models:

• Train AI models

• Optimize flight paths

• Determine precise spraying dosage for each analyzed area

Results:

• Reduce chemical usage by 30–50%

• Reduce operation time

• Increase spraying efficiency over analyzed areas

Pest detection through image analysis

Services used:

• Amazon Rekognition

• Amazon Bedrock

Solution:

Amazon Rekognition: Analyze images from drones/cameras to detect:

• Pests and diseases

• Leaf damage

• Crop conditions (water deficiency, high humidity, salinity, etc.)

Amazon Bedrock (GenAI): Based on Rekognition analysis results - generate a chatbot that responds in natural language with:

• Causes of diseases

• Severity levels

• Treatment methods

• Preventive measures

Results:

• Reduce farmers’ dependency on experts

• Enable timely decision-making, avoiding missed “golden time” to save crops

Smart data storage and cost optimization

Services used:

• Amazon S3 (Standard, Intelligent-Tiering, Glacier)

Solution:

Create Lifecycle Policies to automatically move data between tiers:

• New data (frequently accessed) → S3 Standard

• Infrequently accessed data → S3 Intelligent-Tiering

• Long-term data (>3 years) → S3 Glacier

Results:

Reduce storage costs on AWS cloud by up to 70% while ensuring timely data retrieval when needed

Achieved Results

Increase

30%

agricultural productivity

Reduce

20%

chemical & operational cost

Provide

Scalable

Systems

Future Development Direction

With the existing foundation, SATY will continue enhancing farming efficiency through AI, data, and automation, aiming toward smart and sustainable agriculture.

Alongside SATY, GNXT as a technology partner commits to:

• Consulting and deploying suitable solutions for each development stage

• Optimizing operational costs and time

• Supporting the adoption of advanced technologies such as AI, IoT, and Cloud

The shared goal is to build a modern – efficient – sustainable – high-yield agricultural ecosystem for Vietnamese farmers.

See how GNXT to build resilience, scale with confidence, and drive performance using cutting-edge cloud and GenAI technologies. Learn more here.

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