Journal articles: 'Smart agriculture'

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Dankan Gowda, V., M. Sandeep Prabhu, M. Ramesha, Jayashree M. Kudari, and Ansuman Samal. "Smart Agriculture and Smart Farming using IoT Technology." Journal of Physics: Conference Series 2089, no. 1 (November 1, 2021): 012038. http://dx.doi.org/10.1088/1742-6596/2089/1/012038.

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Abstract It has become easier to access agriculture data in recent years as a result of a decline in digital breaches between agricultural producers and IoT technologies. These future technologies can be used to boost productivity by cultivating food more sustainably while also preserving the environment, thanks to improved water use and input and treatment optimization. The Internet of Things (IoT) enables the production of agricultural process-supporting systems. Referred to as remote monitoring systems, decision support tools, automated irrigation systems, frost protection systems, and fertilisation systems, respectively. Farmers and researchers must be provided with a detailed understanding of IoT applications in agriculture as a result of the knowledge described above. This study is about using Internet of Things (IoT) technologies and techniques to enhance agriculture. This article is meant to serve as an introduction to IoT-based applications in agriculture by identifying need for such tools and explaining how they support agriculture.

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Beyerer, Jürgen, Georg Bretthauer, and Thomas Längle. "Smart agriculture." at - Automatisierungstechnik 69, no. 4 (April 1, 2021): 275–77. http://dx.doi.org/10.1515/auto-2021-2049.

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鲜, 雨航. "Big Data, Smart Agriculture, Agricultural Information." Advances in Social Sciences 11, no. 08 (2022): 3121–26. http://dx.doi.org/10.12677/ass.2022.118428.

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Azadi, Hossein, Saghi Movahhed Moghaddam, Stefan Burkart, Hossein Mahmoudi, Steven Van Passel, Alishir Kurban, and David Lopez-Carr. "Rethinking resilient agriculture: From Climate-Smart Agriculture to Vulnerable-Smart Agriculture." Journal of Cleaner Production 319 (October 2021): 128602. http://dx.doi.org/10.1016/j.jclepro.2021.128602.

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John, Lizy Kurian. "Smart Agriculture and Smart Memories." IEEE Micro 42, no. 1 (January 1, 2022): 4–6. http://dx.doi.org/10.1109/mm.2021.3138625.

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Singh, Gurjeet, Naresh Kalra, Neetu Yadav, Ashwani Sharma, and Manoj Saini. "SMART AGRICULTURE: A REVIEW." Siberian Journal of Life Sciences and Agriculture 14, no. 6 (December 25, 2022): 423–54. http://dx.doi.org/10.12731/2658-6649-2022-14-6-423-454.

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Agriculture is regarded as one of the most crucial sectors in guaranteeing food security. However, as the world’s population grows, so do agri-food demands, necessitating a shift from traditional agricultural practices to smart agriculture practices, often known as agriculture 4.0. It is critical to recognize and handle the problems and challenges related with agriculture 4.0 in order to fully profit from its promise. As a result, the goal of this research is to contribute to the development of agriculture 4.0 by looking into the growing trends of digital technologies in the field of agriculture. A literature review is done to examine the scientific literature pertaining to crop farming published in the previous decade for this goal. This thorough examination yielded significant information on the existing state of digital technology in agriculture, as well as potential future opportunities.

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Adamides, George. "A Review of Climate-Smart Agriculture Applications in Cyprus." Atmosphere 11, no. 9 (August 25, 2020): 898. http://dx.doi.org/10.3390/atmos11090898.

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Climate-smart agriculture is an approach for developing agricultural strategies to modernize agricultural systems using digital techniques, aiming for sustainable agriculture and ensuring food security under climate change. This article provides a systematic literature review of smart agriculture technologies towards climate-smart agriculture in Cyprus, including robotics, Internet of Things, and remote sensing. The paper starts with a review of climate-smart agriculture, presenting its importance in terms of optimizing agricultural production processes in order to address the interlinked challenges of food security and climate change. An extensive literature review of works published in the areas of robotics, Internet of Things, and remote sensing is undertaken, with particular attention paid to works carried out in relation to agriculture in Cyprus. The paper analyzes aspects of the climate-smart agriculture research situation in Cypriot agriculture, identifies gaps, and concludes with new directions.

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Sadiku, Matthew N. O., Mahamadou Tembely, and Sarhan M. Musa. "Climate-Smart Agriculture." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 2 (February 28, 2017): 148–49. http://dx.doi.org/10.23956/ijarcsse/v7i2/01202.

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Rakhmatullaevna, Makhmudova Nargiza. "“smart” agriculture tools." ACADEMICIA: AN INTERNATIONAL MULTIDISCIPLINARY RESEARCH JOURNAL 11, no. 2 (2021): 430–34. http://dx.doi.org/10.5958/2249-7137.2021.00372.4.

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Hmielowski, Tracy. "Climate-Smart Agriculture." CSA News 62, no. 2 (February 2017): 4–7. http://dx.doi.org/10.2134/csa2017.62.0201.

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Wang, Ke. "Analysis of Characteristics of Cooperation Network of Smart Agriculture Technology Companies: China as an Example." Journal of Humanities and Social Sciences Studies 4, no. 4 (September 15, 2022): 01–04. http://dx.doi.org/10.32996/jhsss.2022.4.4.1.

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The development of new technology and the Internet has provided opportunities for the development of smart agriculture, but at present, the development of smart agriculture is still in the primary stage and faces many urgent technical problems, so most companies enhance their technological innovation capabilities through cooperation with other companies. This paper analyzes the characteristics of cooperation networks of smart agriculture technology companies and the differences in different stages by collecting companies with which smart agriculture technology companies have cooperation relationships and applying social network analysis. The results show that there are few cooperative relationships between smart agriculture technology companies, mostly with large information technology companies (e.g., Huawei and Alibaba), research institutes, and other non-agricultural companies. In the cooperation network, large information technology companies such as Huawei and Alibaba, China Agricultural University, Chinese Academy of Sciences, and Chinese Academy of Agricultural Sciences occupy important positions. However, the overall network density is low, and the cooperation is not tight enough, indicating that the development of smart agriculture technology companies needs to be improved. The findings of the study can provide suggestions for the development of smart agricultural technology companies.

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Agilesh R, Asrath J, Hariharasuthan N, Santhosh K, and Sathya Priyan R. "IOT BASED SMART AGRICULTURE." Journal of Manufacturing Engineering 16, no. 3 (October 1, 2021): 077–81. http://dx.doi.org/10.37255/jme.v16i3pp077-081.

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Agriculture plays a vital role in the development of an agricultural country. Around 70% of people depend on farming in our country, and one-third of the nation's income comes from agriculture. Issues concerning agriculture have been continually impeding the improvement of the nation. The main answer for this issue is smart agriculture by modernizing the current customary strategies for farming. Henceforth the undertaking targets making agribusiness smart using computerization and IoT advances. The featuring highlights of this project incorporate smart GPSbased remote-controlled robots to perform errands like weeding, sensing moisture, animal and bird scaring, spraying, and so on. Also, it contains smart irrigation with savvy control and canny dynamic dependent on precise ongoing field information. Thirdly, smart warehouse management includes temperature support, humidity maintenance, and burglary discovery in the stockroom. Controlling of every one of these tasks will be through any far-off shrewd gadget or PC associated with the Web, and the tasks will be performed by interfacing sensors, Wi-Fi or ZigBee modules, camera and actuators with miniature regulator and raspberry pi

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Zhang, Fan, Yu Zhang, Weidang Lu, Yuan Gao, Yi Gong, and Jiang Cao. "6G-Enabled Smart Agriculture: A Review and Prospect." Electronics 11, no. 18 (September 8, 2022): 2845. http://dx.doi.org/10.3390/electronics11182845.

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As human society develops, the population is growing explosively and water and land resources are gradually being exhausted due to pollution. Smart agriculture is regarded as having an essential role in addressing the above challenges. Smart agriculture can significantly improve the agro-ecological environment and the yield and quality of agricultural products, and it can reduce the usage of pesticides and chemical fertilizers, thus alleviating the pollution of farmland and improving the sustainability of agricultural activities. The key to smart agriculture is in utilizing information and communication technologies to make agricultural cultivation and production automatic and intelligent. Specifically, wireless communications play an active role in the development of agriculture, and every generation of wireless communication technology drives agriculture to a more intelligent stage. In this article, we first review the wireless technologies which have mature applications in agriculture. Moreover, it is of importance to exploit the up-to-date communication technologies to further promote agricultural development. Therefore, we have surveyed the key technologies in sixth-generation mobile communication systems, as well as their existing and potential applications in smart agriculture.

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Patil, Prof P. R., Samruddhi Shelke, Prachi Phadatare, Mrunal Wabale, and Rutuja Kharche. "Smart Irrigation Technique Using IOT." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 3613–16. http://dx.doi.org/10.22214/ijraset.2022.43170.

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Abstract: Agriculture plays an imperative role in the country’s development. In our country, more than 72% of people depend upon farming which is one third of the population invests in farming. Thus, the challenges and issues concerning agriculture need to be focused to hinder the country development. The only recommended solution to this issue is modernizing agriculture using smart technologies. In agriculture, irrigation is one of the processes which support crop production by supplying needed water to the soil. A Sensor-based automated irrigation system provides a promising solution to manage agricultural activity. This research article provides a vast study on the irrigation system in smart agriculture. Keywords: Smart Agriculture, Smart Irrigation, Internet of Things, Sensors, Water Management, ESP32, Automation.

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Prasad, Ch G. V. N., A. Mallareddy, M. Pounambal, and Vijayasherly Velayutham. "Edge Computing and Blockchain in Smart Agriculture Systems." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 1s (December 14, 2022): 265–73. http://dx.doi.org/10.17762/ijritcc.v10i1s.5848.

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The advancement of Internet-based technologies has made huge progress toward improving the accessibility of "smart agriculture." With the advent of unmanned and automatic management, smart agriculture is now able to accomplish monitoring, supervision, and real-time picture monitoring. It is not possible to know for sure that the data in a smart agriculture system is complete and secure from intrusion. This article investigates and assesses the potential of edge computing and blockchain for use in smart agriculture. We combine the advantages of blockchain technology and the edge computing framework to create a smart agriculture framework system that is based on a very straightforward analysis of the evolution of smart agriculture. The study proposes a thorough method for emphasizing the significance of agriculture and edge computing, as well as the advantages of incorporating blockchain technology in this context. This paper also proposes an intelligent agricultural product traceability system design: edge computing with blockchain for smart agriculture. The study concludes with a discussion of outstanding problems and difficulties that can arise during the creation of a blockchain-based edge computing system for smart agriculture systems.

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Lee, Doyeon, and Keunhwan Kim. "National Investment Framework for Revitalizing the R&D Collaborative Ecosystem of Sustainable Smart Agriculture." Sustainability 14, no. 11 (May 25, 2022): 6452. http://dx.doi.org/10.3390/su14116452.

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Demographic, economic, and environmental issues, including climate change events, aging population, growing urban-rural disparity, and the COVID-19 pandemic, contribute to vulnerabilities in agricultural production and food systems. South Korea has designated smart agriculture as a national strategic investment, expanding investment in research and development (R&D) to develop and commercialize convergence technologies, thus extending sustainable smart agriculture and strengthening global competitiveness. Hence, this study probes the status of smart agricultural R&D investment from the perspectives of public funds, research areas, technologies, regions, organizations, and stakeholders. It examines 5646 public R&D projects worth USD 1408.5 million on smart agriculture in 17 regions and eight technology clusters from 2015 to 2021. Further, it proposes a pool of potential collaborative networks via a case study of strawberry, a representative veritable crop inspiring smart agriculture, to demonstrate the study framework’s usefulness in promoting smart agriculture and establishing a sustainable R&D collaboration ecosystem. The proposed framework, accordingly, allows stakeholders to understand and monitor the status of R&D investment from various perspectives. Moreover, given the insight into the tasks belonging to technical areas and regions that require sustainable cooperation in smart agriculture, central and local governments develop policies to reinforce sustainable smart-farming models.

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Adesipo, Adegbite, Oluwaseun Fadeyi, Kamil Kuca, Ondrej Krejcar, Petra Maresova, Ali Selamat, and Mayowa Adenola. "Smart and Climate-Smart Agricultural Trends as Core Aspects of Smart Village Functions." Sensors 20, no. 21 (October 22, 2020): 5977. http://dx.doi.org/10.3390/s20215977.

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Attention has shifted to the development of villages in Europe and other parts of the world with the goal of combating rural–urban migration, and moving toward self-sufficiency in rural areas. This situation has birthed the smart village idea. Smart village initiatives such as those of the European Union is motivating global efforts aimed at improving the live and livelihood of rural dwellers. These initiatives are focused on improving agricultural productivity, among other things, since most of the food we eat are grown in rural areas around the world. Nevertheless, a major challenge faced by proponents of the smart village concept is how to provide a framework for the development of the term, so that this development is tailored towards sustainability. The current work examines the level of progress of climate smart agriculture, and tries to borrow from its ideals, to develop a framework for smart village development. Given the advances in technology, agricultural development that encompasses reduction of farming losses, optimization of agricultural processes for increased yield, as well as prevention, monitoring, and early detection of plant and animal diseases, has now embraced varieties of smart sensor technologies. The implication is that the studies and results generated around the concept of climate smart agriculture can be adopted in planning of villages, and transforming them into smart villages. Hence, we argue that for effective development of the smart village framework, smart agricultural techniques must be prioritized, viz-a-viz other developmental practicalities.

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Choi, Sung-Wook, and Yong Jae Shin. "Role of Smart Farm as a Tool for Sustainable Economic Growth of Korean Agriculture: Using Input–Output Analysis." Sustainability 15, no. 4 (February 13, 2023): 3450. http://dx.doi.org/10.3390/su15043450.

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This study focused on smart farms in Korea to confirm that the fourth industrial revolution technology is a tool that can be used for sustainable economic development in agriculture. This study used the input–output table, which included the production-inducing effects of the demand inducement model, value-added inducing effects, supply shortage effects of the supply inducement model, and the interlinkage effect. These methods were used to compare the impact of smart farm machinery on agriculture and the impact of smart farms on the Korean economy compared to conventional agriculture, thereby confirming the extent of the effect of fourth industrial revolution technology on agriculture. This study was conducted to determine whether this agricultural sector could lead to sustainable economic development. The analysis revealed that the production-inducing effects of smart farms showed a greater ripple effect than those of the agricultural sector. However, both value-added inducing effects and supply shortage effects showed a larger ripple effect in the agricultural sector. Considering only the indirect effect, the smart farms were found to evenly affect secondary and tertiary industries. In the case of value-added inducing and supply shortage effects, agriculture was found to have a greater impact on the secondary industry, whereas smart agri-machines and farms had a greater impact on the tertiary industry. Moreover, according to the interlinkage effect, agriculture was classified as a raw industry with final demand, and smart farms as a manufacturing industry with intermediate demand. These results have several implications. For the fourth industrial revolution technology to lead sustainable economic growth in agriculture, continuous creation of new value by developing various types of business models linked to other industries in consideration of the industrial characteristics of smart farms and agri-machines is necessary. In addition, to fully demonstrate the economic effects of smart farms, continuous management and support are required so that smart technologies can be strategically utilized in the agricultural sector.

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Hellin, Jon, and Eleanor Fisher. "Climate-Smart Agriculture and Non-Agricultural Livelihood Transformation." Climate 7, no. 4 (March 31, 2019): 48. http://dx.doi.org/10.3390/cli7040048.

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Agricultural researchers have developed a number of agricultural technologies and practices, known collectively as climate-smart agriculture (CSA), as part of climate change adaptation and mitigation efforts. Development practitioners invest in scaling these to have a wider impact. We use the example of the Western Highlands in Guatemala to illustrate how a focus on the number of farmers adopting CSA can foster a tendency to homogenize farmers, instead of recognizing differentiation within farming populations. Poverty is endemic in the Western Highlands, and inequitable land distribution means that farmers have, on average, access to 0.06 ha per person. For many farmers, agriculture per se does not represent a pathway out of poverty, and they are increasingly reliant on non-agricultural income sources. Ineffective targeting of CSA, hence, ignores small-scale farming households’ different capacities for livelihood transformation, which are linked to the opportunities and constraints afforded by different livelihood pathways, agricultural and non-agricultural. Climate-smart interventions will often require a broader and more radical agenda that includes supporting farm households’ ability to build non-agricultural-based livelihoods. Climate risk management options that include livelihood transformation of both agricultural and non-agricultural livelihoods will require concerted cross-disciplinary research and development that encompasses a broader set of disciplines than has tended to be the case to date within the context of CSA.

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Pranto, Tahmid Hasan, Abdulla All Noman, Atik Mahmud, and AKM Bahalul Haque. "Blockchain and smart contract for IoT enabled smart agriculture." PeerJ Computer Science 7 (March 31, 2021): e407. http://dx.doi.org/10.7717/peerj-cs.407.

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The agricultural sector is still lagging behind from all other sectors in terms of using the newest technologies. For production, the latest machines are being introduced and adopted. However, pre-harvest and post-harvest processing are still done by following traditional methodologies while tracing, storing, and publishing agricultural data. As a result, farmers are not getting deserved payment, consumers are not getting enough information before buying their product, and intermediate person/processors are increasing retail prices. Using blockchain, smart contracts, and IoT devices, we can fully automate the process while establishing absolute trust among all these parties. In this research, we explored the different aspects of using blockchain and smart contracts with the integration of IoT devices in pre-harvesting and post-harvesting segments of agriculture. We proposed a system that uses blockchain as the backbone while IoT devices collect data from the field level, and smart contracts regulate the interaction among all these contributing parties. The system implementation has been shown in diagrams and with proper explanations. Gas costs of every operation have also been attached for a better understanding of the costs. We also analyzed the system in terms of challenges and advantages. The overall impact of this research was to show the immutable, available, transparent, and robustly secure characteristics of blockchain in the field of agriculture while also emphasizing the vigorous mechanism that the collaboration of blockchain, smart contract, and IoT presents.

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Arun, Dangi Pooja, Joginder Singh Malik, and Neelam Kumari. "Farmers level of Awareness and Adaptation Practices about Climate Change and Climate Smart Technologies." Journal of Extension Systems 36, no. 2 (2020): 16–21. http://dx.doi.org/10.48165/jes.2020.36204.

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The impact of climate change on agriculture is varying over space and time. The consequences highly uncertain are heterogeneous in nature. Agricultural sector must focus on adopting climate smart technologies to successfully achieve food security and climate change challenges.Climate Smart Technologies in agriculture is clearly a crucial response for an effective and equitable adaptation and mitigation strategy. To shift the focus towards climate smart agricultural technologies in India, innovation will be the key. The present study focused on level of awareness and adaptation strategies of farmers about climate change and Climate smart technologies. Farmers’ knowledge and perceptions about climate change, and adoption of climate smart technologies, will help development practitioners, researchers and policy makers to develop more promising technologies according to the needs and interests of farmers. The paper advocates various agricultural innovations including technological innovations, managerial innovations and traditional agriculture as a climate-smart approach for sustainable food production.

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Akamani, Kofi. "An Ecosystem-Based Approach to Climate-Smart Agriculture with Some Considerations for Social Equity." Agronomy 11, no. 8 (August 5, 2021): 1564. http://dx.doi.org/10.3390/agronomy11081564.

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Although the transition to industrial agriculture in the 20th century resulted in increased agricultural productivity and efficiency, the attainment of global food security continues to be elusive. Current and anticipated impacts of climate change on the agricultural sector are likely to exacerbate the incidence of food insecurity. In recent years, climate-smart agriculture has gained recognition as a mechanism that has the potential to contribute to the attainment of food security and also enhance climate change mitigation and adaptation. However, several conceptual and implementation shortfalls have limited the widespread adoption of this innovative agricultural system at the landscape scale. This manuscript argues for the use of ecosystem management as an overarching framework for the conceptualization and implementation of climate-smart agriculture. The manuscript focuses on clarifying the foundational assumptions and management goals, as well as the knowledge and institutional requirements of climate-smart agriculture using the principles of ecosystem management. Potential challenges that may be faced by the application of an ecosystem management approach to climate-smart agriculture are also discussed. Furthermore, the manuscript calls for a heightened focus on social equity in the transition toward an ecosystem-based approach to climate-smart agriculture. The US farm bill is used as an illustrative case study along with other examples drawn mostly from sub-Saharan Africa.

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Matsumoto, Yoshihide. "Promotion of smart agriculture." Japanese Journal of Pesticide Science 45, no. 2 (August 20, 2020): 141–45. http://dx.doi.org/10.1584/jpestics.w20-25.

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R Bhat, Anusha, Madhushree B N, Deekshitha M R, Naveen H S, and Jeevitha J V Reddy. "WIFI BASED SMART AGRICULTURE." International Journal of Innovative Research in Advanced Engineering 9, no. 8 (August 12, 2022): 170–73. http://dx.doi.org/10.26562/ijirae.2022.v0908.03.

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Smart agriculture is an emerging concept, because IOT sensors are capable of providing information about agriculture fields and then act upon based on the user input. The goal of this paper is to create a Smart Agriculture System that takes advantage of cutting-edge technologies like Arduino, IoT, and Wireless Sensor Network. The goal of the article is to use developing technologies, such as the Internet of Things (IoT) and smart agriculture with automation. The ability to monitor environmental variables is a key aspect in increasing the production of efficient crops. The invention of a system that can monitor temperature, humidity, wetness, and even disease detection in tomato leaves is a characteristic of this research. TCP/IP is used in the development of the application for the farmer's Smartphone. The system uses a duplex communication link based on a cellular-Internet interface, allowing data inspection and irrigation scheduling to be configured using an android application. The device has the potential to be beneficial in water-scarce, geographically isolated places due to its energy independence and low cost.

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C N, Lakshmiprasad, Aashish R, and Syed Muzaffar J. "Smart Irrigation in Agriculture." IOSR Journal of Electrical and Electronics Engineering 9, no. 6 (2014): 34–40. http://dx.doi.org/10.9790/1676-09613440.

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Kashyap, Vipul, Dhruv Darji, Yash Mistry, and Prof Chhaya Dhavale. "Smart Agriculture Suggestion System." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 2121–27. http://dx.doi.org/10.22214/ijraset.2022.41717.

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Abstract: Agriculture is a career that has been performed for many years. However, as time passes, people's confidence in this profession is eroding. One of the reasons for this is that agriculture is practiced in an unscientific manner. Traditional approaches are getting less successful as time passes. To address this, the method described here analyses the current environmental and soil parameters and predicts the best crop for the scenario. This technology is intended to assist farmers by serving as a gateway between them and all accessible information. The project's main goal is to gather information from many sources on the internet and display it to the user in a user-friendly and understandable manner. This site will serve as a resource for farmers around the country, as 3well as a platform for them to connect and share their important resources and expertise with one another. We also want to dedicate a part of this programme solely to crop, equipment, and labour management. We want to make resource collection and farm management considerably more efficient. Keywords: Agriculture, Management, Sustainable Web, Android

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Kashyap, Vipul, Dhruv Darji, Yash Mistry, and Prof Chhaya Dhavale. "Smart Agriculture Suggestion System." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 2121–27. http://dx.doi.org/10.22214/ijraset.2022.41717.

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Abstract: Agriculture is a career that has been performed for many years. However, as time passes, people's confidence in this profession is eroding. One of the reasons for this is that agriculture is practiced in an unscientific manner. Traditional approaches are getting less successful as time passes. To address this, the method described here analyses the current environmental and soil parameters and predicts the best crop for the scenario. This technology is intended to assist farmers by serving as a gateway between them and all accessible information. The project's main goal is to gather information from many sources on the internet and display it to the user in a user-friendly and understandable manner. This site will serve as a resource for farmers around the country, as 3well as a platform for them to connect and share their important resources and expertise with one another. We also want to dedicate a part of this programme solely to crop, equipment, and labour management. We want to make resource collection and farm management considerably more efficient. Keywords: Agriculture, Management, Sustainable Web, Android

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Merkoçi, Arben. "Smart nanobiosensors in agriculture." Nature Food 2, no. 12 (December 2021): 920–21. http://dx.doi.org/10.1038/s43016-021-00426-2.

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Kolte, Roshan. "Smart Agriculture using IoT." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 14, 2021): 715–22. http://dx.doi.org/10.22214/ijraset.2021.35019.

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Internet of Things (IoT) technology has brought revolution to each and every field of common man’s life by making everything smart and intelligent. Smart agriculture is an emerging concept, because IoT sensors are capable of providing information about agriculture fields and act upon based on the user input. The feature of this paper includes development of system which can monitor temperature, level of water moisture through sensors using Arduino Board.

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Yasuoka, Sumito. "Promotion of “Smart Agriculture”." Journal of the Robotics Society of Japan 35, no. 5 (2017): 362–65. http://dx.doi.org/10.7210/jrsj.35.362.

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Savlot, Govind. "SMART Agriculture using IOT." International Journal for Research in Applied Science and Engineering Technology 7, no. 6 (June 30, 2019): 1931–32. http://dx.doi.org/10.22214/ijraset.2019.6324.

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Nagpure, Sarang, Sadashiv Ingale, Sameer Pahurkar, Ankur M Bobade, Munmun Ghosal, and Tanuja Dhope. "Smart Agriculture Using IOT." HELIX 9, no. 3 (June 30, 2019): 5081–83. http://dx.doi.org/10.29042/2019-5081-5083.

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Suvorov, Nicolae, and Alina Mădălina Stancu. "Climate-Smart Approach for Sustainable Agriculture." International Journal of Sustainable Economies Management 10, no. 2 (April 2021): 46–57. http://dx.doi.org/10.4018/ijsem.2021040104.

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The 21st century comes with a great challenge in terms of sustainable agriculture and food security, which is also a worldwide debated issue due to problems such as population growth, degradation of natural resources including loss of biodiversity and considerable soil degradation, and last but not least, climate change. In fact, climate change poses the greatest threat to agricultural systems and the health of ecosystems and natural balance. The green revolution comes as a lifesaver for the environment, streamlining the allocation of natural resources but at the same time involves huge costs in term of money, time, and labor. Due to the intensive use of fossil fuels, chemical treatments in agriculture, and animal husbandry, environmental problems such as climate change tend to become more pronounced resulting in negative environmental externalities globally. A smart approach to sustainable agriculture is to reinvent and innovate traditional agricultural practices in order to identify ways and possibilities to reduce the risks related to the use of pesticides in close connection with the health of ecosystems.

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Duan, Meiyi. "Analysis on the Development Trend and Influencing Factors of Intelligent Agriculture in Anhui Province." Academic Journal of Science and Technology 1, no. 2 (May 16, 2022): 93–97. http://dx.doi.org/10.54097/ajst.v1i2.370.

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With the implementation of the "Internet +" strategy, the modern integration of information technology and agriculture has also entered the fast lane of development. A large number of high-tech equipment and technologies have been gradually integrated into agricultural production, greatly improving the efficiency of agriculture. Realizing agricultural intellectualization and modernization has become an important goal of China's agricultural and rural work at this stage. This paper establishes a model to analyze the current development trend and main influencing factors of smart agriculture in Anhui Province, so as to provide empirical reference for the development of smart agriculture. Firstly, the key factors affecting agricultural productivity in Anhui Province are the change of agricultural scale and agricultural productivity by using tobit-u model, and then the research results show that the change of agricultural productivity in Anhui Province is the key factor to improve agricultural productivity The level of industrialization has a significant role in promoting the production efficiency of smart agriculture in Anhui Province, and the level of financial agricultural expenditure and urbanization rate have a significant negative effect.

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Sharma, Komal, Chetan Sharma, Shamneesh Sharma, and Evans Asenso. "Broadening the Research Pathways in Smart Agriculture: Predictive Analysis Using Semiautomatic Information Modeling." Journal of Sensors 2022 (October 6, 2022): 1–19. http://dx.doi.org/10.1155/2022/5442865.

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Agriculture has become more industrialized and intensive due to the rising demand for food in quality and quantity. Agricultural modernization will be made possible by the Internet of Things (IoT), a technology with a great promise for revolutionizing the industry. Agricultural products will be in high demand by 2050 due to a 30% increase in the global population, so there is a need to devise new mechanisms for agriculture, and smart agriculture is one of those mechanisms; however, smart agriculture needs to be explored further to realize its potential fully. So, to explore the potential of this field, the researchers have used a corpus that is extracted from the Scopus database from the year 2008 to the year 2022 and applied the LDA technique. A corpus of 4309 articles was selected from the Scopus database to apply the latent Dirichlet analysis (LDA) model to predict research areas for smart agriculture. Using IoT technology, farmers and producers may better manage their resources, such as fertilizer consumption and the number of trips made by farm vehicles, while minimizing waste and maximizing productivity, including water, electricity, and other inputs. This data-driven experimental study identifies smart agriculture research trends by implementing a topic modeling technique previously used in smart agriculture. The authors have created seventeen research themes in smart agriculture based on the LDA topic modeling. This analysis suggests that the indicated areas are in the growth phase and require further research and exploration.

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Cho, So-Hyeon, Dong-Seok Kang, Min-Song Kang, Hyeon-Soo Kim, Jin-Woong Bae, Chung-Il Lee, Han-Byeol Ji, Yo-Han Won, Hyeon-Kyeong Hong, and Kyounggon Kim. "A Study on Threat Modeling in Smart Greenhouses." Journal of Information Security and Cybercrimes Research 3, no. 1 (December 20, 2020): 1–12. http://dx.doi.org/10.26735/kkjn1042.

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In the era of agriculture 4.0, cutting-edge technologies including Information and communication technology (ICT) is being introduced into traditional agriculture. As farm intelligence emerges as a key area of smart agriculture, the scope of agriculture has expanded from the seed industry to distribution and logistics, however the area that is still most directly connected to the physical agricultural environment is smart farming. Cybersecurity incidents or cybercrimes in smart farming can directly damage crops and harm human safety. Research on individual technical elements that constitute smart farming has been ongoing for a long time relatively, however it has not been long since the work of systematically identifying and classifying threats to smart agriculture as a whole. In this study, STRIDE threat modeling is used to identify cyber threats to greenhouse and make system design more robust. Through this work, we have derived 126 threats and have created 4 types of attack trees. It will be the basis to allow systematic threat classification more clearly in smart greenhouse.

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Swain, Itishree, Gita Majhi, Jagamohan Swain, Biplab Behera, Subhasish Bal, and Chitrabhanu Sahoo. "Experimental Study on IOT Based Smart Irrigation." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 945–49. http://dx.doi.org/10.22214/ijraset.2022.42273.

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Abstract: India is mainly an agricultural country. Agriculture is the most important occupation for the most of the Indian families. It plays vital role in the development of agricultural country. In India, agriculture contributes about16% of total GDP and 10% of total exports. Water is main resource for Agriculture. Irrigation is one method to supply water but in some cases there will be lot of water wastage. So, in this regard to save water and time we have proposed project titled smart irrigation system using IoT. In this proposed system we are using various sensors like temperature, humidity, soil moisture sensors which senses the various parameters of the soil and based on soil moisture value land gets automatically irrigated by ON/OFF of the motor. These sensed parameters and motor status will be displayed on user android application. Keywords: Agriculture, IOT, Soil sensor

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M, Vijayalakshmi M. "IoT Based Smart Farming in a Agriculture." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (February 28, 2019): 462–66. http://dx.doi.org/10.31142/ijtsrd21362.

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Spandana, K., and Suresh Pabboju. "IoT Enabled Smart Agriculture using Digital Dashboard." Indian Journal Of Science And Technology 16, no. 1 (January 5, 2023): 1–11. http://dx.doi.org/10.17485/ijst/v16i1.1680.

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Ma, Xi. "Smart Agriculture and Rural Revitalization and Development Based on the Internet of Things under the Background of Big Data." Sustainability 15, no. 4 (February 11, 2023): 3352. http://dx.doi.org/10.3390/su15043352.

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Smart agriculture refers to the specific performance of the smart economy in the field of agriculture; it is a form of agricultural smart economy and an important part of the smart economy. It has played a certain role in promoting rural revitalization and development. The purpose of this paper was to study the role of smart agriculture based on the Internet of Things in rural revitalization and development under the background of big data. The purpose was to use Internet of Things technology to realize smart agriculture under the background of big data, so as to promote rapid rural revitalization and development. Therefore, in this paper, a fuzzy PID algorithm and genetic algorithm were proposed. Finally, through experimental analysis, the fuzzy PID algorithm was used to carry out experiments in the laboratory. The temperature and humidity of the laboratory were measured. The average difference between the collected and actual temperature values was 0.6 °C, and the maximum difference between the collected and actual humidity values was 1.32% RH. The laboratory simulation results satisfied the performance indicators and technical requirements of the system. The system operated normally and could be directly applied to field tests. The experimental results show that the role of Internet of Things technology in the smart agricultural economy is irreplaceable, which further illustrates the positive relationship between smart agriculture based on the Internet of Things and rural revitalization and development. As one of the most mature technologies in today’s society, the Internet of Things technology combined with smart agriculture not only offers new perspectives, but also promotes the revitalization and development of rural areas, indicating a new direction for its future research.

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Al Rakib, Md Abdullah, Md Moklesur Rahman, Salah Uddin, Md Adnan Hossain Khan, Md Ashiqur Rahman, Md Miraj Hossain, Mousume Samad, and Fysol Ibna Abbas. "Smart Agriculture Robot Controlling using Bluetooth." European Journal of Engineering and Technology Research 7, no. 6 (November 28, 2022): 77–81. http://dx.doi.org/10.24018/ejeng.2022.7.6.2867.

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Agriculture is critical to the growth of an agricultural country. Agriculture-related issues have traditionally hampered the country's progress. The only answer to this challenge is smart agriculture, which involves upgrading conventional agricultural processes. When the signal reaches the Arduino, it will send a command to the relay of that specific line field valve to activate it in order to open the valve, as well as a command to the relay of the pump to exchange it directly in order to irrigate that field. Also, if two or three of the three plants' moisture sensors are operational, all three fields can be watered at the same time. As a result, all solenoid valve relays may be activated to open all valves, and the pump can operate to water all three plants. Choosing a proper pump to paint to water all flowers at the same time was an issue at first. The system's software has been set, and the system will no longer function unless (or three moisture sensors) are engaged. However, if one sensor of any line is engaged, the system will no longer function since that sensor may also be malfunctioning. If the water tank level is too low, the system will not function at all, even when all plant sensors are enabled to safeguard the water pump.

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Somantri, Supriatna, Hardi Herdiana, Ujang Mulyana, and Anggy Pradifta Junfithrana. "SMART AGRICULTURE BASED IOT AND MOBILE APPS." INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) 3, no. 2 (October 29, 2020): 86–96. http://dx.doi.org/10.52005/ijeat.v3i2.62.

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Agriculture is the main occupation in our country for many centuries. But now because of the migration of people from rural to urban areas there are barriers to agriculture. So to solve this problem we are using smart farming techniques using IOT. Smart farming is a developing concept, because the IOT Sensor is able to provide information about the agricultural sector and then act on user input. To develop this Intelligent Agricultural System, it uses the advantages of the latest technology such as Arduino, IOT and Wireless Sensor Networks. The paper aims to make use of the emerging technology namely IOT and the use of intelligent agricultural automation. Monitoring of environmental conditions is the main factor for increasing efficient crop yields. This feature includes the development of a system that can monitor temperature, humidity and is programmed via an android application.

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Modani, Varsha, Ravindra Patil, and Pooja Puri. "Smart Greenhouse Multıfactor Monıtorıng Usıng Iot." International Journal of Engineering & Technology 7, no. 4.19 (November 27, 2018): 1016. http://dx.doi.org/10.14419/ijet.v7i4.19.28278.

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Agriculture plays vital role in the development of agricultural country. Agriculture supports directly or indirectly the economic growth of the country. The biggest thing that holds back the development in the agricultural productivity and efficiency is manual interventions. Agriculture put lots of emphasis on human care in detection and control of different factors such as environment which leads to wastage of manpower and also the desired results are not achieved due to human monitoring error. Greenhouse agriculture in large extent is in urgent need to control the environment factors which give optimum growth of plants. With internet era, proposed work is an integration of greenhouse with IoT. In proposed work Intel Galileo Gen 2 board is used to monitor and control environmental factors for greenhouse like temperature, humidity, soil moisture and light intensity. The user gets updated constantly about the condition of the greenhouse factors using IoT technology. To transmit the data over internet ESP8266Wi-Fi module is used. The experimental results are displayed on ThingSpeak cloud platform. This system avoids the use of dedicated server PC, with the help of internet connectivity user can access the data from anywhere at any time.

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Ilham, Andi, Ahmad Munir, Ambo Ala, and Andi Amran Sulaiman. "The smart village program challenges in supporting national food security through the implementation of agriculture 4.0." IOP Conference Series: Earth and Environmental Science 1107, no. 1 (December 1, 2022): 012097. http://dx.doi.org/10.1088/1755-1315/1107/1/012097.

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Abstract The purpose of this study is to: (1) look at the possible concept of agriculture 4.0 which can be an important part of the smart village program; (2) evaluate the relationship between the concept of agriculture 4.0 and the principles of sustainable agriculture in line with the achievement of the Village Sustainable Development Goals; (3) analyze the opportunities of the agriculture-based smart village program 4.0 to be able to contribute to food security. The method used in this study is a qualitative approach with case study methods and is analyzed descriptively. Data is collected from written and audio-visual materials, in the form of policies, field data, opinions and experiences of experts and practitioners, and others. The results of this study show several conclusions, including; (a) The concept of agriculture 4.0 is very likely to be part of the implementation of the Smart Village program, considering that Indonesian villages in general are agricultural villages that still need digitalization in agricultural activities. (b) Agriculture 4.0 technology has characteristics that are in line with the principles of sustainable agriculture, including minimizing the use of inputs, minimizing the use of water in agricultural cultivation, and the ability to make various predictions that can provide benefits for farmers, (c) thus the opportunity to develop smart villages based on agriculture 4.0, can provide a great opportunity to be able to contribute to food security in Indonesia and can improve the welfare of rural communities.

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Raile, Eric D., Linda M. Young, Julian Kirinya, Jackline Bonabana-Wabbi, and Amber N. W. Raile. "Building Public Will for Climate-Smart Agriculture in Uganda: Prescriptions for Industry and Policy." Journal of Agricultural & Food Industrial Organization 19, no. 1 (March 1, 2021): 39–50. http://dx.doi.org/10.1515/jafio-2021-0012.

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Abstract The global policy community has largely converged on climate-smart agriculture as a solution to various problems driven by climate change, but mass adoption of the crucial innovations presents challenges – particularly in the developing world. Widespread, meaningful, and rapid adoption of climate-smart agriculture will require an appropriate enabling environment. This study uses the political will and public will approach to identify the obstacles and opportunities for upscaling of climate-smart agriculture innovations. In 2015 and 2018, two rounds of semi-structured stakeholder and expert interviews conducted by researchers in Uganda identified four relevant obstacle categories: agricultural extension; communication infrastructure; basic and agricultural infrastructure; and other incentives and disincentives. These categories are related to the five definitional components of public will to reveal pathways for enabling social change. Importantly, both infrastructure and appropriate incentives are necessary for diffusion and then continued use of climate-smart agriculture innovations, often in interrelated ways. The study concludes with a detailed discussion of the implications for industry, government, and donors.

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Ağızan, Kemalettin, Zeki Bayramoğlu, and Süheyla Ağızan. "Akıllı Tarım Teknolojilerinin Tarımsal İşletme Yöneticiliğine Sunduğu Avantajlar." Turkish Journal of Agriculture - Food Science and Technology 10, no. 9 (October 6, 2022): 1697–706. http://dx.doi.org/10.24925/turjaf.v10i9.1697-1706.5305.

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The aim of this study; By examining the development of technology use in agriculture, making comparisons according to countries and discussing the applicability of 4.0 technology in the agricultural sector, the advantages of these technologies to business economy and management are determined. As a matter of fact, the increase in the world population and the need for more resources accordingly keeps the issue of productivity on the agenda. Technological methods are needed to increase productivity in agricultural production. These technological methods; It is known as green agriculture, precision agriculture, digital agriculture, smart agriculture or agriculture 4.0, and with the development of these technologies, a very comprehensive data acquisition process has started and it has come to the point of making business decisions according to the analysis of the data and the results of these. At this point, the most important issue to be discussed is the applicability and affordability of smart agriculture technology. As a matter of fact, the production factors (land, capital, labor and entrepreneurship) owned by agricultural enterprises in Turkey are limited and insufficient according to European standards. Therefore, the compatibility of the technologies to be used according to the enterprises is extremely important, and strategies should be determined in order to prevent the use of idle technology. In this context, for the first time in the study, the technological development was examined by classifying the application areas of Agriculture 4.0 technology and their hardware features. As a result, predictions and suggestions about the future of Agriculture 4.0 or smart agriculture will be prepared and the smart agriculture policy will be presented to the sector and public institutions.

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Rifat, Alia, Prince Patel, and B. Shoban Babu. "The Internet of Things (IOT) in Smart Agriculture Monitoring." European Journal of Information Technologies and Computer Science 2, no. 1 (February 15, 2022): 14–18. http://dx.doi.org/10.24018/compute.2022.2.1.49.

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Regardless of how the public perceives agriculture, the reality is that today's agriculture industry is more data-driven, precise, and sophisticated than ever before. The rapid rise of Internet-of-Things (IoT)-based technologies has transformed practically every industry, including "smart agriculture," which has moved away from statistical to quantitative techniques. Smart agriculture allows for more efficient fertilizer use and less water waste. The goal of the smart agribusiness research is to create a dynamic and emotionally supportive farm management network. IoT is being used in agriculture to learn about the agricultural field by using sensors for field monitoring and control. Sensors are used to acquire a better understanding of the crop field for monitoring, field control, and other applications. We'll look at how Internet of Things architectures aid farm fields in this research. The entire Internet of Things (IoT) Solicitations in Agriculture, as well as how they work, are provided. According to the report, IoT can also be used to fill in gaps in agriculture. Technology scalability should be encouraged without jeopardizing existing infrastructures functionality. The current state of Internet of Things (IoT) solicitations in agricultural, as well as future projections, are discussed in this article.

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Abualkishik, Abedallah Zaid, Rasha .., and William Thompson. "Evaluating Smart Agricultural Production Efficiency using Fuzzy MARCOS method." Journal of Neutrosophic and Fuzzy Systems 3, no. 1 (2022): 08–18. http://dx.doi.org/10.54216/jnfs.030101.

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Agricultural production efficiency can be improved, the environment can be improved, and sustainable agricultural development can be achieved with smart agriculture. Several nations and businesses are devoted to developing or introducing innovative agricultural practices and technologies. As long as conventional agricultural management systems are in place, it's going to be tough for businesses to choose and apply smart agriculture solutions without running into stiff competition. As a result, businesses must weigh their options and choose a workable solution ahead of time. There is a novel fuzzy multi-criteria decision model presented in this research that may be used to evaluate the agriculture solution. We created fuzzy MARCOS, which uses the COmpromise Solution's Measurement Alternatives and Ranking Method (fuzzy MARCOS). Triangular fuzzy numbers (TFNs) linguistic dimension was also developed. According to this technique, the criteria weights used to evaluate the road network parts were calculated. Consequently, it is clear that a certain part of agriculture is affected by the study results.

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Dev, Pushkar, Suman Khandelwal, S. C. Yadav, Vikas Arya, H. R. Mali, and Poonam. "Climate Based Smart Agriculture: Need for Food Security and Sustainability." International Journal of Environment and Climate Change 13, no. 3 (March 6, 2023): 224–31. http://dx.doi.org/10.9734/ijecc/2023/v13i31702.

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A variety of climate-smart agriculture technologies, practices, and services have been introduced in climate-smart villages as adaptation strategies to cope with climate risks and ensure stability and sustainability in agricultural production. Farmers who utilize climate-smart agriculture adaptation strategies have been shown to achieve higher output, yield, and return compared to those who do not. There are promising opportunities to scale out these strategies and immense potential to enhance crop yields and farm incomes while reducing greenhouse gas emissions. Strengthening agricultural extension services and agricultural finance by linking climate finance to traditional agricultural finance could play a significant role in scaling out climate-smart agriculture practices and technologies. This would make agriculture more sustainable and climate-resilient, thereby becoming a viable source of livelihood and food security for millions of farmers in the country. Zero budget natural farming is a climate-resilient farming system that can enhance food and nutritional security while allowing farmers to improve soil fertility and yields at lower costs, risks, and irrigation requirements. This system protects the ecosystem by improving soil organic matter, water retention, and biodiversity, while reducing air and water pollution as well as greenhouse gas emissions.

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Biró, Kinga, Mária Szalmáné Csete, and Bálint Németh. "Climate-Smart Agriculture: Sleeping Beauty of the Hungarian Agribusiness." Sustainability 13, no. 18 (September 14, 2021): 10269. http://dx.doi.org/10.3390/su131810269.

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Climate change and agriculture interact with each other in many ways and have a complex impact. The agriculture sector needs to be prepared to adapt to the expected effects of climate change, and emphasis must be placed on prevention to achieve emission reduction targets. The research explores the current situation in the agricultural sector, the risks of climate change, as well as the Climate-Smart Agriculture (CSA) solutions that appear at Hungarian agribusiness. Examining the climate innovation activities of farms shows a coherence of the practical application. The research is based on a questionnaire survey of Hungarian agribusiness and the country directorates of the National Chamber of Agriculture. The investigation confirmed that although farmers are susceptible to Agri-Innovation, they only partly exploit the potential of digitalization. For agriculture, the spread of agricultural digitalization and technology transfer is an excellent opportunity to increase agricultural production, maintain and improve its market position, and increase its digital maturity, which can also enhance the integration of climate innovation and sustainability aspects supporting the green economic development.

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Journal articles on the topic 'Smart agriculture'

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