Smart Agricultural Futures Market: Blockchain Technology as a Trust Enabler between Smallholder Farmers and Buyers

Kumarathunga, Malni; Calheiros, Rodrigo N.; Ginige, Athula

doi:10.3390/su14052916

Cited by 17 publications

(5 citation statements)

References 61 publications

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“…Moreover, IoT merged with unmanned aerial vehicles presents a low-cost platform for agricultural modernization. This approach, employing IoTbased above-ground and below-ground sensors, facilitates data collection, enhancing environmental forecasting and agricultural productivity [29] [30]. Smart agriculture, utilizing technologies like IoT, addresses challenges in food production.…”

Section: Related Workmentioning

confidence: 99%

Optimized Data Fusion With Scheduled Rest Periods for Enhanced Smart Agriculture via Blockchain Integration

Ahmed,

Parveen,

Abdullah

et al. 2024

IEEE Access

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The study introduces an efficient data aggregation technique for smart agriculture by leveraging Blockchain technology and a novel method referred to as the "cluster head sleep schedule." The primary objective is to enhance the data collection process within a large-scale agricultural setting where multiple sensors continually generate vast amounts of data while monitoring and safeguarding crops from pest attacks. The proposed method involves the segmentation of sensors into clusters, each led by a designated cluster head responsible for collecting data from its constituent members deployed in the field to monitor pest attacks and promptly report any issues to the management. To curtail data redundancy, the study employs a fuzzy matrix to group nodes based on high-similarity data. This approach enables the selective suspension of certain nodes while others remain active. The data received from these nodes undergoes analysis using a fuzzy similarity matrix for clustering, ensuring that only unique data is transmitted to the base station. Redundant nodes from all clusters are identified and placed in a sleep mode, thus conserving energy and prolonging the network's lifespan. This sleep scheduling mechanism is implemented subsequent to data redundancy reduction, facilitating immediate pest attack control in agriculture. By implementing these techniques, smart agriculture stands to benefit from optimized energy utilization and reduced costs associated with monitoring and pest control, thereby fostering sustainable and efficient operations. The cluster head is responsible for storing the data on a base station positioned at the network's edge, allowing for local processing and prompt communication of pest attack information to the farmer for immediate action. Moreover, this edge system stores the data on a Blockchain network for future analysis and serves as a guideline for pest attack control in the pesticide industry, thereby enhancing data security and immutability. In addition to these advantages, the research also emphasizes the importance of controlling pest attacks to enhance crop production in the field, ultimately contributing to the country's economic growth. Simulation results affirm that the proposed approach leads to notable cost reductions, decreased energy consumption, improved crop production, precise crop monitoring to prevent pest attacks, and a prolonged network lifespan. These outcomes underscore the effectiveness of this approach within the context of smart agriculture and its role in enhancing the monitoring system for smart agriculture and bolstering security through Blockchain technology.

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Section: Related Workmentioning

confidence: 99%

Optimized Data Fusion With Scheduled Rest Periods for Enhanced Smart Agriculture via Blockchain Integration

Ahmed,

Parveen,

Abdullah

et al. 2024

IEEE Access

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“…In general, farmers directly call or contact buyers who have become their customers. Kumarathunga et al (2022) stated that the technological approach in marketing smallscale farmers' products in particular can increase farmers' financial profits because they can interact directly. Well-managed technology can also build trust between farmers and buyers and reduce risks associated with transactions, empowering unknown parties to transact.…”

Section: Practical Marketing System Model In Rice Farming In Urban Areasmentioning

confidence: 99%

Practical Marketing System as a Solution to Limited Labor and Post-Harvest Processing Areas for Rice

ARISENA,

DARMAWAN,

SUKENDAR

et al. 2024

Theor. Pract. Res. Econom. Fields

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The majority of rice farmers in Denpasar City chose a practical marketing system, this system implements rice sales based on estimated production results. Farmers generally sell their produce when the rice is approaching harvest time. The buyer determines the purchase price for rice by estimating the number of transaction objects after carefully observing and viewing the rice to be harvested. With this system, farmers no longer need to think about the availability of labor to harvest, transport the harvest home, dry the grain until it reaches a certain level of dryness. The novelty of this research is conducting in-depth research on the practice of buying and selling rice using a practical marketing system in Denpasar City. This research will also examine in depth the practical marketing system from two sides, namely from the perspective of farmers and buyers. The results of this research reveal that the practice of buying and selling rice using a practical marketing system in Denpasar City involves farmers as sellers and buyers who are usually called penebas. The reason why farmers choose a practical marketing system is that this system is considered more profitable for farmers with all the limitations of farming in urban areas, where farmers only need to care for the rice they plant until it is ready to harvest.

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“…From the perspective of farmers, emerging technologies offer the potential to reduce labor requirements and minimize fatigue through automation [12]. These technologies also enable better management of food supply and demand, allowing farmers to target the provision of crops that are in demand, thus leading to more stable income while addressing food insecurity and price uncertainties [29]. Moreover, the implementation of these technologies contributes to improved health and safety conditions for staff working in distribution centers.…”

Section: Disruptive Technologies Applied In the Agricultural Supply C...mentioning

confidence: 99%

Diversified Impacts of Enabling a Technology-Intensified Agricultural Supply Chain on the Quality of Life in Hinterland Communities

Lubag,

Bonifacio,

Tan

et al. 2023

Sustainability

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The agricultural supply chain (ASC) in the hinterland refers to the entire post-harvest process of processing and distributing agricultural products in rural or secluded areas to be brought to big city markets. This scheme involves various stakeholders (farmers, trading centers, consumers), processes (logistics, storage, monitoring), and infrastructure (traffic and road systems, negative environmental emissions) to ensure the efficient flow of agricultural products from farms to consumers. The quality of life (QoL) in the hinterland can improve with the introduction of disruptive technologies, but no comprehensive studies have explored the QoL of individuals involved in the ASC–socioeconomic system of hinterland communities. This study elucidated and compared the diversified impacts of disruptive technologies brought by the Industrial Revolution 4.0 to the agricultural supply chain and their impacts on food security, sustainability, and climate change mitigation through the analysis of the related literature. This study also mapped out the role of disruptive technologies in the QoL of hinterland communities, particularly with respect to the farmers, trading center workers, and consumers. Points of discussion emerged with respect to precision agriculture, the Artificially Intelligent Internet of Things, big data analytics, blockchain, artificial intelligence, cyber-physical systems, robotics, automation, and e-commerce, and how these enabling technologies enhance fresh food supply and distribution and deliberately affect stakeholders’ life quality indexes through the analysis of situational case studies in India, South America, Malaysia, China, and Europe. The identification of these points of discussion was also achieved purely based on research performed on the related literature. The positive impacts of these technologies, such as the boosting of efficiency and the ensuring of a steady supply of fresh produce, ultimately improve the overall QoL. The technical insights from the studies were synthesized to develop new frameworks for QoL anchored in the agricultural supply chain (AgQoL) in the hinterland, and a six-dimensional network emphasizing the two trifectas of techno-socioenvironmental needs was established. Food-producing communities with a relatively high AgQoL should support food security in the region.

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Smart Agricultural Futures Market: Blockchain Technology as a Trust Enabler between Smallholder Farmers and Buyers

Cited by 17 publications

References 61 publications

Optimized Data Fusion With Scheduled Rest Periods for Enhanced Smart Agriculture via Blockchain Integration

Optimized Data Fusion With Scheduled Rest Periods for Enhanced Smart Agriculture via Blockchain Integration

Practical Marketing System as a Solution to Limited Labor and Post-Harvest Processing Areas for Rice

Diversified Impacts of Enabling a Technology-Intensified Agricultural Supply Chain on the Quality of Life in Hinterland Communities

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