10. Core Business Models
1. Data Collection and Continuous Learning for Crops, Data Processing and Provision
The core elements of the Deep Smart Farm project can be defined as introducing AI and blockchain technology into the existing hardware-centric smart farming market to enhance crop productivity, enable traceability in distribution, and provide optimized crop data. The conventional hardware-centric smart farming market has faced the paradox of increased productivity at the cost of significant installation expenses and labor-intensive crop management, as well as challenges in recruiting specialized personnel. To overcome these issues, this project aims to provide a core software-based smart farming service that departs from the hardware-centric market.
The core objective of the smart farm is to maximize the productivity of plants and provide optimal efficiency by utilizing comprehensive data on the respective plants, thereby maximizing revenue. Specialized growth-related data for each plant is collected by utilizing sensors, cameras, and other hardware components integrated into the smart farm. The collected data is continuously subjected to machine learning through AI, followed by analysis and processing. Smart farm data for various plants, collected from the global market, is constantly being updated, both in terms of quantity and quality. Furthermore, the collection of growth data for crops that require meticulous cultivation is ongoing, with the involvement of experts in each respective field.
Code
Name
Type
Necessity
1
Images
Object
Y
1–1
images.id
Number
Y
1–2
Farm_id
String
Y
1–3
Crops_id
String
Y
1–4
Crops
String
Y
1–5
Kind_Type
String
Y
1–6
file_path
String
Y
1–7
Fname
String
Y
1–8
Fext
String
Y
1–9
Width
String
Y
1–10
Height
String
Y
1–11
create_date
String
Y
1–12
captured_date
String
Y
1–13
growth_stage
String
Y
1–14
Leaf
String
1–15
plant_body
String
2
environment
Array
Y
2–1
Farm_id
String
Y
2–2
Receive_date1
String
Y
2–3
Id
String
2–4
ti_value
String
2–5
hi_value
String
2–6
ci_value
String
2–7
ir_value
String
2–8
tl_value
String
2–9
ei_value
String
2–10
pl_value
String
3
Growth_index
Object
Y
3–1
Crops_id
String
Y
3–2
measured_date
String
Y
3–3
stem_length
String
3–4
leaf_cnt
String
3–5
leaf_width
String
3–6
leaf_length
String
3–7
fr_weight
String
3–8
petiole_length
String
3–9
leaf_index
String
3–10
SPAD
String
4
ETC_infor
Object
4–1
Corps_id
String
4–2
Create_date
String
4–3
Inform
String
5
annotations
Array
Y
5–1
annotations.area
Number
Y
The smart farm plant data collected in this manner is modularized to create a big data set for each plant. This organized data is then provided to individuals in need of plant cultivation and growth information. It can be used to establish the optimal plant cultivation environment, and continuous version updates ensure that additional real-time plant data being collected is also made available.
In the future, we aim to establish a system that can seamlessly integrate and share real-time data through SDKs and APIs related to the collected data. This system will also provide access to cultivation processes for similar and different plants being conducted in other smart farms.
2. On-Chain Data for Distribution
Apart from discussions on climate change and food security issues, one of the most significant topics in the food market might be related to organic cultivation and GMO concerns. Information about the groceries I purchase is relatively hard to verify compared to most other commodities. At best, I can typically find details like the country of origin and expiration date.
The Deep Smart Farm project aims to collect and process all data related to plants from the seedling stage onward, storing this information on the blockchain. Data stored on the blockchain is tamper-resistant, ensuring transparency and providing real-time trustworthy information. Consequently, consumers can easily verify trustworthy information about the life cycle and producer of a plant product or plant grown in a smart farm when making a purchase by scanning a simple QR code, for instance.
After cultivation and productization, the following processes are performed, and data collected at the backend is filtered and provided as consumer-friendly frontend data. Consumers can access comprehensive real-time information about the productized plant through their mobile devices.
3. Token Usage Model
Deep Smart Farm aims to provide smart farm hardware and software systems that can be built anywhere in the world and enable easy access to plant data for everyone. To facilitate this, we will issue a Utility Token in the form of Deep Smart Farm Token (DSF) that can be easily used as a means of payment on the Deep Smart Farm network.
Sale of Modularized Sets of Lifecycle Data for Specific Crops
As of December 2022, Deep Smart Farm has experience in collecting, analyzing, and processing data for over 100 million plant growths, and we continue to collect data continuously. We also operate actual mushroom smart farms and are accumulating know-how related to hardware.
Based on this experience, Deep Smart Farm creates optimized environments for specific crops within smart farms and quantifies conditions under which plants can thrive in external environments. Users can acquire big data related to specific crops and gain access to a specific platform by paying with DSF. This access allows users to observe how the specific crop is growing in real-time in different smart farms. Additionally, users will receive regularly updated data through version updates, ensuring access to continually refreshed information, rather than one-time data purchases.
If a user is operating an actual smart farm, they can install cameras, and other software and equipment that allows for the collection of data from their smart farm. They can then provide this data to Deep Smart Farm. In exchange for data collection and contribution, users will receive incentives in the form of DSF allocated within the Deep Smart Farm ecosystem.
In addition to that, users can also seek consultation or ask questions from plant experts operating within Deep Smart Farm, and the payment method for such services will also utilize DSF.
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