Analyzing growth through AI-powered proximity sensing and image analysis
Speeding up the development of growth management techniques
with cutting edge phenotyping technology
Using sensor drones, with Nilebank you can conduct wide-ranging observations of farmland quickly and in detail. It's AI analysis of captured images supports a wide range of crop analysis needs, from the growth status of grains and vegetables to disease detection.
Use casesHow you can utilize Nileworks at your farm
Use case 1: Growth analysisEnabling stable production of direct-seeded rice
Nileworks' unique crop phenotyping technology can be applied to direct-seeded rice cultivation.
You can also use proximity sensing and AI to optimize sowing of seedlings, and analyze and improve seedling establishment rates.
- 1.Uniformity
- 2.Sowing( Seeds / ㎡ )
- Germination
- Growth
- 3.Seedlings( Seedlings / ㎡ )
- Division
- Heading
- Maturation
- Harvest( kg / ㎡ )
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- 1Ground levelness and Uniformity
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Analyzing the ground's evenness/uniformity for planting optimisation.
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- 2Sowing count
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Count the number of seeds using image recognition and quantify seeding irregularities. This can then be used to improve seeding methods based on this data.
Capture images of dispersed seeds in the field. 
Detect and count seeds
using image recognition
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- 3Seedling Emergence Count
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Count the number of seedlings using image recognition.
Calculate the distribution of seedling emergence rates within the field based on seeding and emergence counts.
Capture images of seedlings in the field 
Detect and count seedlings
using image recognition.
Use case 2: Disease detectionEarly detection of diseases and pests
Detect signs of disease and abnormalities from images using
Nileworks' multispectral camera.
We offer customized solutions for detecting diseases in various grains, vegetables, and fruit trees.
Our sensing methods and detection software are developed and provided according to your specific needs
News featuresNileworks recognition from News organizations and institutions
Partner institutions
- Tokyo Metropolitan Bureau of Industrial and Labor Affairs
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2019Innovation TOKYO project that opens up the future
- Tokyo Institute of Technology
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Super Smart Society Promotion Consortium
Media coverage
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Companies selected for the “Innovation TOKYO Project to Open Up the Future” strive hard! Nileworks' "Growth Survey System" will change Japanese agriculture
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Utilizing agricultural drones for growth diagnosis!? Digital technology you need to know now for future agriculture
Service OverviewOur services we offer for Nileworks
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1Growth analysis
- Average size analysis
- Analysis of field levelness and height difference using a drone
- Growth analysis
- Analyze growth status using proximity sensing, NDVI etc.
*NDVI (Normalized Difference Vegetation Index) is an index that indicates the distribution status and activity of plants.
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2Disease detection
- Disease detection
- Disease detection using multispectral cameras, etc.
- Automatic Detection
- Automatic detection of lesions and feeding damage using image analysis AI
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3Drone sense analysis consulting
- Drone sensing
- Providing know-how on sensing methods and shooting on behalf of each purpose
- Growth data analysis support
- Nurturing analysis support using various data such as images, sensor data, climate, etc.
Data ManagementOur platform
Analysis results can be aggregated on the Nile Bank growth management platform
In addition to the analysis results of the Agri-Assist Service, simulations can be linked from various data such as sensor data (water temperature, soil temperature, water depth), satellite data, weather, crop varieties, soil, etc.
