Abstract: A validation method applied to sensor data prior to submitting to a blockchain, a computer program product, and a system for validating chemical data. One embodiment may comprise receiving a sensor captured result at an application, applying the sensor captured result to a domain-specific statistical model of expected range of variability of measured results to extract a distribution of expected sensor values, computing a confidence value in the sensor captured result using the domain-specific statistical model, validating the confidence value against a required threshold of confidence, and submitting the sensor captured result for appending to the blockchain if the confidence level is validated against the threshold of confidence.

Abstract: An example operation may include one or more of storing existing chaincode relationships of a group of blockchain peers within a blockchain network, identifying a new chaincode to implement for one or more blockchain peers among the group of blockchain peers of the blockchain network based on the existing chaincode relationships among the group of blockchain peers, and transmitting a message to the one or more blockchain peers with a suggestion to implement the new chaincode.

Abstract: A memory embodies instructions, and a processor is coupled to the memory and is operative by the instructions to facilitate: accessing a source of information regarding farm cultivation techniques; constructing a cultivation knowledge graph by parsing the source of information regarding farm cultivation techniques, using natural language processing; identifying cultivation quality assessment factors by applying machine learning to the cultivation knowledge graph; estimating quality of a farm cultivation task by comparing a stream of real-time data to the cultivation quality assessment factors, wherein the stream of real-time data is related to performance of the farm cultivation task; identifying from the stream of real-time data, using the cultivation knowledge graph, a controllable variable that affects the quality of the farm cultivation task; and improving the quality of the farm cultivation task by facilitating a change in the controllable variable.

Abstract: A validation method applied to sensor data prior to submitting to a blockchain, a computer program product, and a system for validating chemical data. One embodiment may comprise receiving a sensor captured result at an application, applying the sensor captured result to a domain-specific statistical model of expected range of variability of measured results to extract a distribution of expected sensor values, computing a confidence value in the sensor captured result using the domain-specific statistical model, validating the confidence value against a required threshold of confidence, and submitting the sensor captured result for appending to the blockchain if the confidence level is validated against the threshold of confidence.

Abstract: An example operation may include one or more of receiving, by an administrator node, a transaction request from a user node over a blockchain, activating, by the administrator node, a smart contract that corresponds to the transaction request, acquiring, by the administrator node, parameters from an oracle node based on the smart contract, modifying, by the administrator node, the smart contract based on the parameters, and executing, by the administrator node, the modified smart contract to commit the requested transaction to the blockchain.

Abstract: An example operation may include one or more of storing existing chaincode relationships of a group of blockchain peers within a blockchain network, identifying a new chaincode to implement for one or more blockchain peers among the group of blockchain peers of the blockchain network based on the existing chaincode relationships among the group of blockchain peers, and transmitting a message to the one or more blockchain peers with a suggestion to implement the new chaincode.

Abstract: A memory embodies instructions, and a processor is coupled to the memory and is operative by the instructions to facilitate: accessing a source of information regarding farm cultivation techniques; constructing a cultivation knowledge graph by parsing the source of information regarding farm cultivation techniques, using natural language processing; identifying cultivation quality assessment factors by applying machine learning to the cultivation knowledge graph; estimating quality of a farm cultivation task by comparing a stream of real-time data to the cultivation quality assessment factors, wherein the stream of real-time data is related to performance of the farm cultivation task; identifying from the stream of real-time data, using the cultivation knowledge graph, a controllable variable that affects the quality of the farm cultivation task; and improving the quality of the farm cultivation task by facilitating a change in the controllable variable.

Abstract: An example operation may include one or more of receiving, by an administrator node, a transaction request from a user node over a blockchain, activating, by the administrator node, a smart contract that corresponds to the transaction request, acquiring, by the administrator node, parameters from an oracle node based on the smart contract, modifying, by the administrator node, the smart contract based on the parameters, and executing, by the administrator node, the modified smart contract to commit the requested transaction to the blockchain.