YANMAR Smart Agriculture, Data utilization - REMOTE SENSING


Farm smarter with high-tech solutions

Remote Sensing is the advanced photographic technology that visualizes growth stages of crops by taking pictures.

Aerial photography by drones equipped with specialized cameras → Creation of crop rowth map → Visualization of the growth stages and growth conditions of crops

About FarmEye

FarmEye Co., Ltd., a subsidiary of Yanmar, is expanding which performs agricultural field sensing and image analysis services, while also providing crop growth condition analysis and problem resolutions proposals.
They combine Yanmar’s agriculture equipment and agricultural business support capabilities with Konica Minolta’s sensing and image processing technology to support an environment where anyone can obtain the knowledge and know-how needed to carry on farming successfully.

Offering solutions for farmer’s problems through Remote Sensing

I want to improve crop yields and quality, but don’t know what to do...

By accurately regulating farming material usage, average yields and quality can be improved while farming material costs can be kept at appropriate levels!

Know where actions are needed at a glance!

Solution 1. Using drones equipped with specialized cameras to perform speedy and accurate data measurements at any time of day and in any weather

Core technologies

  • Sunlight adjustment technology →Adjusts to influences from time or weather
  • Crop growth analysis algorithms →Data measurement at resolution of 3 cm2

Solution 2. Visualizing variations in crop growth conditions using our unique image analysis technology to map crop growth status

NDVI Map (SPAD Value)

NDVI is highly correlated with SPAD value, and NDVI maps show distributions of plant growth activity levels.

  • SPAD value is proportional to the amount of chlorophyll present in the leaf.

Vegetation Rate Map (Stem Numbers)

Vegetation rate is highly correlated with stem numbers, and vegetation rate maps show distributions of plant density.

Crop Growth Map (Nitrogen Uptake Levels)

The combination of NDVI and vegetation rates is highly correlated with nitrogen uptake levels, and crop growth maps show distributions of nitrogen uptake levels.

Solution 3. Facilitating variable rate fertilization planning and efficient soil analysis using crop growth maps to assess variations in soil fertility

Fertilization Maps and Plans can be created based on soil analysis results and Crop Growth Maps created using “Remote Sensing”.
These can be used to control variable rate fertilization, which can help reduce variations in crop growth with the goal of attaining higher yields.
Such map data can also be stored.

Fertilization plans can be assessed by making comparisons with past data, enabling continuous improvements to be made.

Solution 4. Enabling optimized control of fertilizer usage levels by creating Fertilization Maps based on variations in soil fertility

Fertilizer usage levels can be controlled to match soil fertility using Fertilization Map data and variable rate fertilizing equipment.
Doing so eliminates variations in crop growth and improves both average yield and quality.
It also has the effect of bringing farming material costs to appropriate levels.

Fertilization until now…

Fertilization that suits fertility levels isn’t possible

Controlled fertilization

With controlled fertilization, heavy fertilization in less fertile areas and light fertilization in more fertile areas

YANMAR Smart Agriculture, Data utilization - REMOTE SENSING Inquiries and Support