Blockchain and big data are the emerging technologies that are on the highest agendas of the firms. These are significantly expected to transform the ways in which the business as well as the firm run. These are on the verge of increasing the expectation of the distributed ledgers, which would keep the firms away from struggling challenges. The concept of big data and Blockchain has been used up by various other concepts that would help secure and interpret the information. The ideal solutions offered by these technologies shall address the challenges of big data management as well as for analytics. In addition to that, Blockchain provides its own consensus method, which is the primary means to create an audit trail. This enables users to verify all transactions. The audit trail is a means of verifying the correctness and integrity of every transaction, regardless of who owns the asset. The Blockchain can also verify that different parties of a transaction are following an agreement and not breaking the agreement. Moreover, there have been continuous arguments in the concept of Blockchain at which the bitcoin is fundamental and there are several popular blockchain approaches developed which would deliver performance, security as well as privacy. Apart from this, the use of Blockchain plays a major role in adding an extra data layer for the big data analytics process. Big data is considered secure which cannot be further forged with the network architecture. The current paper shall be discussing the emerging concepts that are using Blockchain as well as big data.
Many security standards and cryptographic solutions exist for different applications such as agriculture, aircraft, banking systems and etc. but a more effective and efficient solution can be given by combining existing technologies with blockchain. This work addresses the problems of previous works such as scalability, immutability, robustness, network latency, auditability, and traceability. Satoshi Nakamoto introduced Blockchain (BC) to tackle the Address Resolution Protocol (ARP) spoofing attacks, Distributed Denial of Service (DDoS), phishing problems and various security issues. Blockchain is a technology that stores the data using a chain of blocks in an encrypted form with hashing algorithms. It uses the decentralized architecture to store the information that helps users and customers to have transparency on records. The data is stored in a distributed ledger that is tamperproof and immutable. To amalgamate the research done so far, this paper presents a systematic review of ten different applications and tools used in blockchain. The applications include academics and education, agriculture, aircraft, banking, car sharing, e-voting, healthcare, Internet of Things (IoT), Intellectual Property Rights (IPR), and Supplychain (SC). Moreover, this paper presented a taxonomy for these applications and analyzed the implementation of tools used in different domains. Different open issues and challenges and key takeaways of blockchain technology were also highlighted. Hence, this paper helps give a new insight into working with blockchain and deciding on appropriate tools and approaches for a particular application.
Supply chain management (SCM) is a core corporate activity responsible for moving commodities and services from one point to another through various stakeholders. The traditional SCM is based on a centralized approach managed at the central headquarter, and all other sub-offices get instructions from the main office. Some major issues with present SCM systems are security, transactional transparency, traceability, stakeholder involvement, product counterfeiting, additional delays, fraud, and instabilities. Blockchain (BC) emerges as a technology that can manage the data and build trust efficiently and transparently. It can also aid in transaction authorization and verification in the supply chain or payments without a third party. To address the present SCM issues, BC technology is a feasible solution. Motivated by the aforementioned considerations, in this paper, we present a survey on the adoption of BC in SCM. This paper undertakes a comprehensive analysis of the literature on BC characteristics, implementations, and business consequences in various SCM. This Blockchain-centered study, in particular, discloses the research state and delineates future research directions by studying and analyzing 97 up-to-date publications highlighting BC’s supply chain uses. Transparency and traceability, information sharing, product anti-counterfeiting, and building trust are the major aspects propelling BC’s implementation in SCM. Further, we analyzed various applications of SCM in which BC can be used as a probable technology to secure all transactions. Then, we have highlighted open issues and research challenges for adopting BC technology in SCM that open the doors for beginners eager to start work in this amazing area.
G. Ravikumar, K. Venkatachalam, Mehedi Masud, Mohamed Abouhawwash
Recently internet of medical things (IoMT) act as a smart doctor using sensor wearable’s device in human body. This smart doctor device senses necessary medical data from human and transfer via network immediately to physician. It is important to transfer sensitive data very securely. Blockchain becomes trending technology to provide high security to both end users in the network. Traditionally security structure is relying on cryptographic techniques which is very expensive and takes more time in securely transmitting data. To overcome this issue, this paper builds a cost effective, blockchain with IoMT using fog-cloud computing. The aim of research is to provide cost effective healthcare services in the present system. This study develops an IoMT systems using fusion of scheduling techniques in blockchain. We propose a Smart Contract with Function Based Cost Efficient Task Scheduling (FTS-SCON) algorithm in blockchain framework. The proposed algorithm uses functions to schedule the task in the blockchain which is cost effective. With the help of cryptography based Blockchain schemes with smart contracts enables consistency and validation of data with symmetric cryptography. Simulation results shows the proposed outperform all existing elements regarding data security, validation by 10%, and cost of application execution by 30% in IoMT.
Blockchain technology, initially developed for cryptocurrency, has shown promise in revolutionizing cybersecurity solutions. This paper explores the potential of blockchain in enhancing security across digital platforms by providing a decentralized, transparent, and tamper-resistant framework for data exchange. Through its distributed ledger system, blockchain can address key cybersecurity challenges, such as data integrity, authentication, access control, and vulnerability management. The paper further evaluates its applications in areas like secure communication, identity management, and fraud detection. By reviewing various case studies and current research, this study presents the advantages, limitations, and future prospects of implementing blockchain in cybersecurity, ultimately suggesting a comprehensive approach to integrating this technology in modern security systems.
All sectors have been updated with new technologies, but India's agriculture, especially Tamil Nadu, is still lagging behind. Third-party interventions are so high that reduced food chain traceability, increased costs, and security issues affect smallholder’s farmer and provide consumers with sufficient knowledge to buy products at low prices. Use of blockchain technology in smart contracts combined with the Internet of Things. This paper analyses literature studies that focus primarily on food chain traceability and explores aspects of cost analysis, time consumption, and security. Therefore, these challenges are blockchain technology in smart contracts, which is being monitored by smallholder’s farmer and consumers are also benefiting from it.
This paper provides an alternative design, analysis and implementation of present E-examination system using concepts of consortium blockchain mixed with public blockchain concepts like PoW consensus protocol giving a heterogeneous solution which is more secure in terms of data mutability of the candidates. The experiment performed propose a decentralized application(D-APP) which use SHA-256 hashing cryptography to encode the blocks. Also, it covers the core concepts of distributed ledger containing student details in a decentralized network of examination centers forming different levels of blockchain and how it's distribution throughout the network. The proposed model diversifies the future of blockchain in the field of education.
The Healthcare system is an organization that consists of important requirements corresponding to security and privacy, for example, protecting patients’ medical information from unauthorized access, communication with transport like ambulance and smart e-health monitoring. Due to lack of expert design of security protocols, the healthcare system is facing many security threats such as authenticity, data sharing, the conveying of medical data. In such situation, block chain protocol is used. In this manuscript, Efficient Block chain Network for securing Healthcare data using Multi-Objective Squirrel Search Optimization Algorithm (MOSSA) is proposed to generate smart and secure Healthcare system. In this the block chain is a decentralized and the distributed ledger device that consists of various blocks linked with digital signature schemes, consensus mechanisms and chain of hashing, offers highly reliable storage capabilities. Further the block chain parameters, such as block size, transaction size and number of block chain channels are optimized with the help of MOSSA. With the evolution of the MOSSA provide new features for enhancing security and scalability. The simulation process is executed in the JAVA platform. The experimental result of the proposed method shows higher throughput of 26.87%, higher efficiency of 34.67%, lowest delay of 22.97%, lesser computational overhead of 37.03%, higher storage cost of 34.29% when compared to the existing method such as Block chain-ECIES-HSO, Block chain-hybrid GO-FFO, Block chain-SDN-HSO algorithm for healthcare technologies.
Amir Masoud Rahmani, Rizwan Ali Naqvi, Mazhar Hussain Malik, Tauqeer Safdar Malik · 7 authors
The suspension of institutions around the world in early 2020 due to the COVID-19 virus did not stop the learning process. E-learning concepts and digital technologies enable students to learn from a safe distance while continuing their educational pursuits. Currently, the Internet of Things (IoT) is one of the most rapidly increasing technologies in today’s digital world; and e-learning is one of the most powerful learning methods available. In today’s world, smart devices and new technologies assist teachers in concentrating on new models of student learning while avoiding time wastage. By examining the characteristics of the Internet of Things and the challenges that exist in the field of e-learning, the potential functions, benefits, and advancements of utilizing the Internet of Things in online education are identified and discussed. This article examines the existing and future condition of the Internet of Things world as it pertains to the topic of education and sophisticated capabilities available through the Internet of Things that enable the application of e-learning after an architecture has been designed. Students’ pulse rates, brain waves, and skin resistance are measured in real time by a collection of IoT sensors, including cameras, microphones, and wearable gadgets. By utilizing the proposed architecture, universities can change their distance learning tactics to maximize resources and boost efficiency without changing their overall academic activities. According to the study’s findings, e-learning has a favorable and statistically significant impact on students’ flexibility, learning experience, educational productivity, and overall quality of education.
Internet of Medical Things (IoMT) has emerged as an integral part of the smart health monitoring system in the present world. The smart health monitoring deals with not only for emergency and hospital services but also for maintaining a healthy lifestyle. The industry 5.0 and 5/6G has allowed the development of cost-efficient sensors and devices which can collect a wide range of human biological data and transfer it through wireless network communication in real time. This led to real-time monitoring of patient data through multiple IoMT devices from remote locations. The IoMT network registers a large number of patients and devices every day, along with the generation of huge amount of big data or health data. This patient data should retain data privacy and data security on the IoMT network to avoid any misuse. To attain such data security and privacy of the patient and IoMT devices, a three-level/tier network integrated with blockchain and interplanetary file system (IPFS) has been proposed. The proposed network is making the best use of IPFS and blockchain technology for security and data exchange in a three-level healthcare network. The present framework has been evaluated for various network activities for validating the scalability of the network. The network was found to be efficient in handling complex data with the capability of scalability.
G. Naga Nithin, Bhaskara S. Egala, Ashok Kumar Pradhan
The COVID-19 outbreak highlighted the smart healthcare infrastructure requirement to speed up vaccination and treatment. Present vaccination supply chain models are fragmented in nature, and they are suitable for a pandemic like COVID-19. Most of these vaccination supply chain models are cloud-centric and depend on humans. Due to this, the transparency in the supply chain and vaccination process is questionable. Moreover, we con’t trace where the vaccination programs are facing issues in real-time. Furthermore, traditional supply chain models are vulnerable to a single point of failure and lack people-centric service capabilities. This paper has proposed a novel supply chain model for COVID-19 using robust technologies such as Blockchain and the Internet of Things. Besides, it automates the entire vaccination supplication chain, and it records management without compromising data integrity. We have evaluated our proposed model using Ethereum based decentralized application (DApp) to showcase its real-time capabilities. The DApp contains two divisions to deal with internal (intra) and worldwide (inter) use cases. From the system analysis, it is clear that it provides digital records integrity, availability, and system scalability by eliminating a single point of failure. Finally, the proposed system eliminates human interference in digital record management, which is prone to errors and alternation.
In traditional agricultural supply chain management, due to involvement of many stakeholders in the entire procedure ranging from farmers, retailers to final vendors, it is merely the producer of the agricultural products i.e., farmers get its direct benefit. The middle stakeholders are always more beneficial than farmers and hence, the conditions of farmers are always the same though they sometimes get good earning and it is becoming a very serious concern in India. The major reason behind it, the transparency and traceability of the entire supply chain of this agricultural products journey from farm to vendor shop. In addition, consumers are becoming more conscious of where their food and food products come from. Block chains have distributed ledger technology (DLT) which has potential to provide transparency and trust for agricultural product supply chains at its different stages and even useful for improving its efficiency. This can boost confidence of all stakeholders who are involved in this farming supply chain. This research paper proposes the same concept in its subsequent sections.
The digital economy and Distributed Ledger Technology (DLT) are developing rapidly into our business and private life. The technology enables a way to secure decentralized datasets without involvement of third parties or intermediates in a secure, auditable and incorruptible way. Storing data on worldwide peer-to-peer networks makes these applications difficult to regulate as they are not residing in a specific area of influence of any given regulation or jurisdiction. Blockchain applications based on DLT offer an extensive level of anonymity to their stakeholders. In future artificial intelligence could start to optimize the applications and trigger decisions automatically which will become a major challenge for competition and anti-trust regulators. Based on the Bitcoin technology we will see that there are fair possibilities to regulate the ledgers indirectly through existing legal and regulatory systems. Also, strong self-regulation will play a part to make these technologies widely acceptable. Capacity building has to be emphasized to keep the asymmetry of information between regulators, industry and consumer as small as possible. Some scholars already claim that blockchains have already started to create a supranational economy in which the classical idea of a legal person is obsolete whereas the supranational law is not really designed to address these new developments yet.
Recently, 6G-enabled Internet of Things (IoT) is gaining attention and addressing various challenges of real time application. The artificial intelligence plays a significant role for big data analytics and presents accurate data analysis in real time. However, designing big data analysis through artificial intelligence faces some issues in terms of security, privacy, training data, and centralized architecture. In this article, blockchain-based IoT framework with artificial intelligence is proposed which presents the integration of artificial intelligence and blockchain for IoT applications. The performance of the proposed architecture is evaluated in terms of qualitative and quantitative measurement. For qualitative measurement, how the integration of blockchain and artificial intelligence addresses various issues are described with the description of AI oriented BC and BC oriented AI. The performance evaluation of proposed AI-BC architecture is evaluated and compared with existing techniques in qualitative measurement. The experimental analysis shows that the proposed framework performs better in comparison with the existing state of art techniques.
Abstract Frequent visit of doctors during pandemicis not recommended due to COVID-19 scenario. Internet of Things (IoT) based sensors can be used to measure andto do certain tests at home. The blockchain-based strategy promises to aid in the delivery of health-care services while maintaining data privacy. To maintain transparency in the health record, medications, claim history, etc., up-to-dated distributed ledger is required. Doctors have sometimes necessitate patients to undergo lab tests or buy drugs from those organisations merely in order to generate personal profit, even if the medical shop or pathology labs have a bad reputation. Therefore, blockchain technology provides trust among multiple parties so that any party could not be misguided. At times, the patient visits the hospital in critical condition and they may not be in situation to explain about medical history. In such scenario, the information stored in distributed leger may be helpful to the doctors for further treatment. The medical emergencies such as cardiac arrest and breathing issues, the patient requires immediate treatment or medicine at his/her location, the intelligent drone is useful for faster delivery of medicines and needed medical accessories.
D. Malathi, Vijayakumar Ponnusamy, S. Saravanan, D. Deepa · 5 authors
The Public Distribution System (PDS) distributes the subsidized food and non-food items to poor populations through fair price shops (FPS). The PDS has been criticized for its urban bias and its failure to serve the underprivileged sections of the community effectively. The Current system manual-based data management and ledger management gives rise to much corruption in the process of extricating the poor from those who are less needy. There are chances for the block market because of the current methodology of data management. This article proposes a blockchain technology-based smart ration shop system that uses immutable smart contract-based transactions to overcome the issues. The proposed mechanism will provide more transparency and enable access to all the transactions by everyone. The system utilizes IoT technology for asset tracking while moving the food items from distribution centers to a particular ration shop, which avoids malpractice during the transportation of the goods. Voice-based and text-based user-friendly interfaces in local languages were also developed to provide an effective interaction and improve the usability of the system. The performance of the proposed blockchain network is evaluated and reported.
The COVID-19 pandemic has profoundly affected almost all facets of peoples' lives, various economic areas and regions of the world. In such a situation implementation of a vaccination can be viewed as essential but its success will be dependent on availability and transparency in the distribution process that will be shared among the stakeholders. Various distributed ledgers (DLTs) such as blockchain provide an open, public, immutable system that has numerous applications due the mentioned abilities. In this paper the authors have proposed a solution based on blockchain to increase the security and transparency in the tracing of COVID-19 vaccination vials. Smart contracts have been developed to monitor the supply, distribution of vaccination vials. The proposed solution will help to generate a tamper-proof and secure environment for the distribution of COVID-19 vaccination vials. Proof of delivery is used as a consensus mechanism for the proposed solution. A feedback feature is also implemented in order to track the vials lot in case of any side effect cause to the patient. The authors have implemented and tested the proposed solution using Ethereum test network, RinkeyBy, MetaMask, one clicks DApp. The proposed solution shows promising results in terms of throughput and scalability.
In blockchain technology, all registered information, from the place of production of the product to its point of sale, is recorded as permanent and unchangeable, and no intermediary has the ability to change the data of other members and even the data registered by them without public consensus. In this way, users can trust the accuracy of the data. Blockchain systems have a wide range of applications in the medical and health sectors, from creating an integrated system for recording and tracking patients’ medical records to creating transparency in the drug supply chain and medical supplies. However, implementing blockchain technology in the supply chain has limitations and sometimes has risks. In this study, BWM methods and VIKORSort have been used to classify the risks of implementing blockchain in the drug supply chain. The results show that cyberattacks, double spending, and immutability are very dangerous risks for implementation of blockchain technology in the drug supply chain. Therefore, the risks of blockchain technology implementation in the drug supply chain have been classified based on a literature review and opinions of the experts. The risks of blockchain technology implementation in the supply chain were determined from the literature review.
Mary Subaja Christo, V. Elizabeth Jesi, Uma Priyadarsini, V. Anbarasu · 6 authors
Hospital data management is one of the functional parts of operations to store and access healthcare data. Nowadays, protecting these from hacking is one of the most difficult tasks in the healthcare system. As the user’s data collected in the field of healthcare is very sensitive, adequate security measures have to be taken in this field to protect the networks. To maintain security, an effective encryption technology must be utilised. This paper focuses on implementing the elliptic curve cryptography (ECC) technique, a lightweight authentication approach to share the data effectively. Many researches are in place to share the data wirelessly, among which this work uses Electronic Medical Card (EMC) to store the healthcare data. The work discusses two important data security issues: data authentication and data confidentiality. To ensure data authentication, the proposed system employs a secure mechanism to encrypt and decrypt the data with a 512-bit key. Data confidentiality is ensured by using the Blockchain ledger technique which allows ethical users to access the data. Finally, the encrypted data is stored on the edge device. The edge computing technology is used to store the medical reports within the edge network to access the data in a very fast manner. An authenticated user can decrypt the data and process the data at optimum speed. After processing, the updated data is stored in the Blockchain and in the cloud server. This proposed method ensures secure maintenance and efficient retrieval of medical data and reports.
K. Sri Lakshmi Sruthi, D. Ratnagiri, Rudru Jyothika, Salunkhe Sneha · 6 authors
Bitcoin is one of the most popular and valuable cryptocurrencies in the current financial market, attracting traders for investment and thereby opening new research opportunities for researchers. Countless research works have been performed on Bitcoin price prediction with different machine learning prediction algorithms. For the project: relevant features are taken from the dataset having strong correlation with Bitcoin prices and random data chunks are then selected to train and test the model. The random data which has been selected for model training, may cause unfitting outcomes thus reducing the price prediction accuracy. Here, a proper method to train a prediction model is being scrutinised. The proposed methodology is then applied to train a simple Long Short-Term Memory (LSTM) model to predict the bitcoin price for the upcoming 30 days. When the LSTM model is trained with a suitable data chunk, thus identified, sustainable results are found for the prediction. In the end of this project, the work culminates with future improvements. Bitcoin is a kind of Cryptocurrency and now is one of type of investment on the stock market. Stock markets are influenced by many risks of factor. And bitcoin is one kind of cryptocurrency that keep rising in recent few years, and sometimes sudden fall without knowing influence behind it on the stock market. Because it's fluctuations, there's a need and automation tool to predict bitcoin on the stock market. This research study learns how to create model prediction bitcoin stock market prediction using LSTM, LSTM (Long Short-Term Memory) is another type of module provided for RNN later developed and popularized by many researchers, like RNN, the LSTM also consists of modules with recurrent consistency. The Method that we apply on this project, also technique and tools to predict Bitcoin on stock market yahoo finance can predict the result above $ 12600 USD for next days after prediction, in the last section we make conclusions and discuss future works.
The Internet of Things (IoT) is an emerging technology. It enables users and various IoT-enabled devices to be linked across the IoT network in order to exchange their data and resources, which would result in a more relaxed and connected lifestyle. There are still several challenges facing the new centralized IoT network. For illustrative purposes, the method for computing all connected nodes within the network relies on a centralized server. The centralized IoT model prompts a single point of failure when the central server is offline. The centralized IoT model is a clear target for privacy and security issues, as a centralized system completely handles all IoT data of several connected devices. The implementation of the Quorum Blockchain Network (QBN) with the InterPlanetary File System (IPFS) on the IoT network will solve these problems. It provides an unchangeable ledger that would ensure the reliability of transactions between linked nodes on a distributed blockchain network thereby replacing the central authority. This paper aims to propose a distributed IoT data store and a decentralized IoT network using a QBN model with an IPFS protocol.
Manoshi Das Turjo, Mohammad Monirujjaman Khan, Manjit Kaur, Atef Zaguia
The manufacture of raw materials to deliver the product to the consumer in a traditional supply chain system is a manual process with insufficient data and transaction security. It also takes a significant amount of time, making the entire procedure lengthy. Overall, the undivided process is ineffective and untrustworthy for consumers. If blockchain and smart contract technologies are integrated into traditional supply chain management systems, data security, authenticity, time management, and transaction processes will all be significantly improved. Blockchain is a revolutionary, decentralized technology that protects data from unauthorized access. The entire supply chain management (SCM) will be satisfied with the consumer once smart contracts are implemented. The plan becomes more trustworthy when the mediator is contracted, which is doable in these ways. The tags employed in the conventional SCM process are costly and have limited possibilities. As a result, it is difficult to maintain product secrecy and accountability in the SCM scheme. It is also a common target for wireless attacks (reply attacks, eavesdropping, etc.). In SCM, the phrase “product confidentiality” is very significant. It means that only those who have been validated have access to the information. This paper emphasizes reducing the involvement of third parties in the supply chain system and improving data security. Traditional supply chain management systems have a number of significant flaws. Lack of traceability, difficulty maintaining product safety and quality, failure to monitor and control inventory in warehouses and shops, rising supply chain expenses, and so on, are some of them. The focus of this paper is on minimizing third-party participation in the supply chain system and enhancing data security. This improves accessibility, efficiency, and timeliness throughout the whole process. The primary advantage is that individuals will feel safer throughout the payment process. However, in this study, a peer-to-peer encrypted system was utilized in conjunction with a smart contract. Additionally, there are a few other features. Because this document makes use of an immutable ledger, the hacker will be unable to get access to it. Even if they get access to the system, they will be unable to modify any data. If the goods are defective, the transaction will be halted, and the customer will be reimbursed, with the seller receiving the merchandise. By using cryptographic methods, transaction security will be a feasible alternative for recasting these issues. Finally, this paper will demonstrate how to maintain the method with the maximum level of safety, transparency, and efficiency.
Introducing IBchain, a new blockchain architecture with the Internet of Things (IoT) could be an attractive framework regarding improvements in connectivity implementation through the smart cities. Instead of meriting innovation and security, the IoT links people, sites, products and consequently, also provides opportunities. Everything that transfers information to the IoT system is integrated by advanced microchips, sensors, and actuators in actual things. The analytical ability of the IoT converts observations into actions, impacting business advancements and significant ways of activity. IoT enables connected objects to transmit information to personal blockchain systems to create tamper-resistant transaction records. The information from sensors and microchips is progressing rapidly with blockchain ledgers, making them more portable and relevant for immediate conversations. In IBchain methodology, the smart objects are permissible to connect securely with other smart objects in diverse situations. IBchain creates an innovative blockchain-based processing configuration through the IoT. The IBchain could analyze blockchain to the main expertise or supports the IoT validation and trustworthiness. It reinforces blockchain and cloud to build an empowering IoT ubiquitous situation for secure communication among the smart devices.
Chunchu Suchith Kumar, B. B. Nayak, Neroju Manasa, Sanjeev Kumar
The World Economic Forum marked Blockchain technology (BCT) as one of the seven revolutionary technologies of the future. It is a distributed ledger system ensuring transparency, security, immutability, interoperability, and provenance. This article tries to understand the technological aspects, working mechanism and explore different areas where BCT can be applied in agriculture. Data in BCT is stored in a series of blocks contains the hash value (previous and the current), timestamp, and difficulty details, secured cryptographically with a symmetric or asymmetric digital signature to avoid data tampering and fraud. Traceability (supply chain), using Smart contracts (in Agricultural insurance, Crop finance, Land records) achieved by the BCT and the companies (Carrefour, Trace harvest), states (Telangana, Andhra Pradesh), and countries (Kenya, European Union) practicing are discussed. The Farmer producer company- Sahyadri farms keen implementation of blockchain fetched benefits to farmers amid Covid times. Finally, addressing the barriers in practicing the BCT in India- Technology maturity, energy cost, and education. The massive potential of BCT is yet untapped, to reach up to the farmer level, which will flourish in the coming years.