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SMART AGRICULTURE
With agriculture, DLT promises a single source of truth about the state of your farm, inventory, and contracts. This helps to minimize the strain of record-keeping and maintaining multiple record systems. As a trusted way of storing data, it facilitates the use of data-driven technologies to make farming smarter. DLT can ultimately save time and energy within the agricultural value chain
Challenge
Lack of a comprehensive system that facilitates the use and management of data across multiple stakeholders
Low standards of performance tracking and prediction processes, leading to overall inefficiency
Solutions
Utilizing DLT in combination with IoT applications at the edge, to enable precision irrigation sensor network, prediction of natural disasters, blind device identification and optimization of insurance pay-out settlements
Benefits
Increased agility of the processes: Thanks to real-time monitoring and prediction systems, farmers can quickly respond to any significant event (weather change, machinery failure, etc.)<br>This can be facilitated by the trusted computational and storage environment, provided by MEC-embedded DLT
Smart & Privacy-Enhancing Precision Irrigation
Precision Irrigation (PI) leverages an efficient solution to handle the scarcity of water and enable the optimal usage of resources through smart sensors. Thus, farmers yield better returns in the market due to higher production volumes. However, with PI, the exchange of crop readings from sensor units to actuators. are processed through open channels via the centralized cloud

This opens the door for malicious intruders to deploy network, and sensor‐based attacks on PI‐sensors, draining the available resources, and battery power of sensor nodes in the network (Through introducing a layered DLT infrastructure with sidechain clusters at the edge). This empowers the ecosystem to handle issues pertaining to security, trust, and transactional payments amongst the stakeholders
Smart Index Insurance Contracts
Index insurances are becoming an increasingly important risk management tool for farmers, while basic risk reduction is of central interest. DLT can contribute to improving index insurance through establishing a comprehensive system that facilitates the use and management of data across multiple stakeholders (farmers, insurers, oracles)

Weather and machinery data are analysed by a DLT-based agent that selects the most suitable insurance policy. Future developments will trigger in a timely manner, and automated pay-out will be executed as defined in the smart contract.
Value Proposition
Agricultural asset optimization
Automation of various tasks across multiple integrated agricultural devices via smart contracts
Natural disaster prevention
Preventative measures can be taken quickly through data analysis. Transparency enabling affected companies to receive compensation from insurers
Trust in agriculture
Ensuring efficiency, trust and transparency from farms to groceries within the value chain
Agricultural audits
Auditors can ensure the fairness in crop’s prices. Automate information about annual or monthly sales through smart contracts
Food safety
Ensuring the food is safe to consume. The data allows seamless tracking, in case of food recalls or investigation
SMART AGRICULTURE
With agriculture, DLT promises a single source of truth about the state of your farm, inventory, and contracts. This helps to minimize the strain of record-keeping and maintaining multiple record systems. As a trusted way of storing data, it facilitates the use of data-driven technologies to make farming smarter. DLT can ultimately save time and energy within the agricultural value chain
Challenge
Lack of a comprehensive system that facilitates the use and management of data across multiple stakeholders
Low standards of performance tracking and prediction processes, leading to overall inefficiency
Solutions
Utilizing DLT in combination with IoT applications at the edge, to enable precision irrigation sensor network, prediction of natural disasters, blind device identification and optimization of insurance pay-out settlements
Benefits
Increased agility of the processes: Thanks to real-time monitoring and prediction systems, farmers can quickly respond to any significant event (weather change, machinery failure, etc.)<br>This can be facilitated by the trusted computational and storage environment, provided by MEC-embedded DLT
Smart & Privacy-Enhancing Precision Irrigation
Precision Irrigation (PI) leverages an efficient solution to handle the scarcity of water and enable the optimal usage of resources through smart sensors. Thus, farmers yield better returns in the market due to higher production volumes. However, with PI, the exchange of crop readings from sensor units to actuators. are processed through open channels via the centralized cloud

This opens the door for malicious intruders to deploy network, and sensor‐based attacks on PI‐sensors, draining the available resources, and battery power of sensor nodes in the network (Through introducing a layered DLT infrastructure with sidechain clusters at the edge). This empowers the ecosystem to handle issues pertaining to security, trust, and transactional payments amongst the stakeholders
Smart Index Insurance Contracts
Index insurances are becoming an increasingly important risk management tool for farmers, while basic risk reduction is of central interest. DLT can contribute to improving index insurance through establishing a comprehensive system that facilitates the use and management of data across multiple stakeholders (farmers, insurers, oracles)

Weather and machinery data are analysed by a DLT-based agent that selects the most suitable insurance policy. Future developments will trigger in a timely manner, and automated pay-out will be executed as defined in the smart contract.
Value Proposition
Agricultural asset optimization
Automation of various tasks across multiple integrated agricultural devices via smart contracts
Natural disaster prevention
Preventative measures can be taken quickly through data analysis. Transparency enabling affected companies to receive compensation from insurers
Trust in agriculture
Ensuring efficiency, trust and transparency from farms to groceries within the value chain
Agricultural audits
Auditors can ensure the fairness in crop’s prices. Automate information about annual or monthly sales through smart contracts
Food safety
Ensuring the food is safe to consume. The data allows seamless tracking, in case of food recalls or investigation