Relevant bibliographies by topics / Smart agriculture

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Smart agriculture'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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

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Purohit, Satyam V., Vikram Bharadwaj, Renuka M, Naveen H S, and Mary Vidhya John. "Smart Agriculture." International Journal of Innovative Research in Advanced Engineering 10, no. 05 (2023): 149–56. http://dx.doi.org/10.26562/ijirae.2023.v1005.04.

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Agriculture is the primary main stay of the economy in our country. In recent years, because of uncertain trends in climate and policy making this has attributed to the price of crops becoming highly volatile. Farmers remain oblivious of these uncertainties, which attribute a degradation of the farmers’ mental and financial wellbeing. The excessive use of chemicals in the soil have caused the soil to lose its organic properties ultimately causing the soil to be exothermic in nature, hence requiring large amounts of water for maintenance of the farm land with an unhealthy quality of production
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Sharma, Tushar, Parthiv Patel, and Prof Kinjal Kevin Gandhi. "The Smart Agriculture System." International Journal of Research Publication and Reviews 6, no. 3 (2025): 9257–61. https://doi.org/10.55248/gengpi.6.0325.12207.

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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, et al. "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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曾曉昀. "農業強市之智慧農業地方立法 ——以廣東河源為例". 國際人文社科研究 3, № 5 (2024): 89–103. https://doi.org/10.63944/he2p9e48.

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The smart era has arrived, and agriculture serves the foundation of the national economy, with smart agriculture flourishing. In the process of building a great agricultural country, the strategies of establishing great agricultural provinces and cities have been implemented. Local legislation is gradually incorporating smart elements, including smart legislative purposes, smart rights protection, and smart behavior models. Considering the specific geographical environment, historical traditions and development models, agriculture becomes a crucial advantage for economic and social development
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Adamides, George. "A Review of Climate-Smart Agriculture Applications in Cyprus." Atmosphere 11, no. 9 (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 chal
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Otitoju, M. A., Obeten, W. O., Ojile, D. O., and Ya’u, H. "ROLE OF CLIMATE-SMART AGRICULTURE IN ENHANCING SUSTAINABLE AGRICULTURAL PRODUCTION." Nigerian Journal of Agriculture and Agricultural Technology 3, no. 2 (2023): 211–17. http://dx.doi.org/10.59331/njaat.v3i2.524.

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With the challenge of global food insecurity increasingly getting more severe, and the problem made worse by the extreme vulnerability of agriculture to climate change, climate-smart agriculture has emerged as an appropriate response aimed at minimising the harmful effect of climate change to agricultural production. This paper seeks to review the role of climate-smart agriculture in enhancing sustainable agricultural production towards attaining global food security. The paper majorly looks at the applications and benefits of climate-smart agriculture, and the constraints and limitations of c
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John, Lizy Kurian. "Smart Agriculture and Smart Memories." IEEE Micro 42, no. 1 (2022): 4–6. http://dx.doi.org/10.1109/mm.2021.3138625.

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Dissertations / Theses on the topic "Smart agriculture"

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Grossi, Francesca <1983&gt. "Climate smart agriculture : beyond the theoretical definition." Doctoral thesis, Università Ca' Foscari Venezia, 2017. http://hdl.handle.net/10579/11973.

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It has been long recognized that effective climate policies need to account for economic, environmental and social impacts, exemplifying the notion of “triple-wins”. In the context, of rapid population growth and urbanization rate, this rationale has acquired even more impetus through the notion of climate smart agriculture applied to urban and peri-urban agriculture (UPA), i.e. farming practices that take place within or on the fringe of a city. Notwithstanding, this increasing popularity of UPA as climate-smart strategy, substantial challenges still remain, especially in terms of impacts’ as
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Mattos, Adriane Wassmassdorf. "Smart farming." Master's thesis, Universidade de Lisboa, Faculdade de Arquitetura, 2016. http://hdl.handle.net/10400.5/14196.

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Giua, Carlo <1994&gt. "Smart Farming in Italian agriculture: essays on adoption and diffusion dynamics shaping the agricultural digital transition." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amsdottorato.unibo.it/10379/1/C.%20Giua%2C%202022.%20Smart%20Farming%20in%20Italian%20agriculture%20-%20essays%20on%20adoption%20and%20diffusion%20dynamics%20shaping%20the%20agricultural%20digital%20transition.pdf.

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Smart Farming Technologies (SFT) is a term used to define the set of digital technologies able not only to control and manage the farm system, but also to connect it to the many disruptive digital applications posed at multiple links along the value chain. The adoption of SFT has been so far limited, with significant differences at country-levels and among different types of farms and farmers. The objective of this thesis is to analyze what factors contributes to shape the agricultural digital transition and to assess its potential impacts in the Italian agri-food system. Specifically, this ov
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Pivoto, Dieisson. "Smart farming : concepts, applications, adoption and diffusion in southern Brazil." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2018. http://hdl.handle.net/10183/178439.

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O Smart Farming (SF) é um novo conjunto de tecnologias que podem ser usadas para melhorar a tomada de decisões e a automação em atividades agrícolas. Para isso, alguns agricultores começaram a utilizar a Internet das Coisas (IoT), que é uma tecnologia que permite que os objetos sejam detectados ou controlados remotamente em infraestruturas de rede existentes. Esse processo tende a criar oportunidades para uma integração mais direta do mundo físico com sistemas baseados em computador, gerando maior eficiência, precisão e benefícios econômicos para os usuários de SF. Além das novas áreas como Io
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ALIEV, KHURSHID. "Internet of Things Applications and Artificial Neural Networks in Smart Agriculture." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2697287.

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Internet of Things (IoT) is receiving a great attention due to its potential strength and ability to be integrated into any complex systems and it is becoming a great tool to acquire data from particular environment to the cloud. Data that are acquired from Wireless Sensor Nodes(WSN) could be predicted using Artificial Neural Network(ANN) models. One of the use case fields of IoT is smart agriculture and there are still issues on developing low cost and power efficient WSN using advanced radio technologies for short and long-range applications and implementation of prediction tools. This is th
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Muhammed, Dalhatu. "Artificial Intelligence of Things (AIoT) for Smart Agriculture : Architectures and Solutions." Electronic Thesis or Diss., Sorbonne université, 2025. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2025SORUS041.pdf.

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L'agriculture intelligente (SA) joue un rôle essentiel dans l'amélioration de la qualité et de la quantité de la production alimentaire, ce qui s'aligne avec l'objectif des Nations Unies (ONU) d'éradiquer la faim en assurant une alimentation durable. La convergence de l'intelligence artificielle (IA) et de l'Internet des objets (IoT), connue sous le nom d'Intelligence artificielle des objets (AIoT), offre des solutions prometteuses pour optimiser les processus agricoles grâce à des systèmes intelligents dans l'agriculture intelligente. Ces systèmes permettent une surveillance avancée, telle qu
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Casten, Carlberg Carl Johan, and Elsa Jerhamre. "Artificial Intelligence in Agriculture : Opportunities and Challenges." Thesis, Uppsala universitet, Avdelningen för datorteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-443576.

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Artificial Intelligence (AI) is increasingly used in different parts of society for providing decision support in various activities. The agricultural sector is anticipated to benefit from an increased usage of AI and smart devices, a concept called smart farming technologies. Since the agricultural sector faces several simultaneous challenges, such as shrinking marginals, complicated pan-European regulations, and demands to mitigate the environmental footprint, there are great expectations that smart farming will benefit both individual farmers and industry stakeholders. However, most previou
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Arakelyan, Irina. "Climate-smart agriculture and rural livelihoods : the case of the dairy sector in Malawi." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28796.

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Over the last decade climate-smart agriculture (CSA) has been promoted as a new approach to deal with the impacts of climate change on agriculture while simultaneously trying to mitigate emissions and improve food security. This approach suggests that these multiple goals – adaptation, mitigation and food security - could be achieved simultaneously by adopting specific technologies. At its core, CSA describes agricultural interventions that can 1) sustainably increase agricultural productivity, and hence food security and farm incomes; 2) help adapt and build resilience of agricultural systems
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BOTTA, ANDREA. "Agri.Q - Sustainable Rover for Precision Agriculture." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2963950.

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Jonarv, Hultgren Susanne, and Philip Tennevall. "Saving resources through smart farming : An IoT experiment study." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17968.

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Context: Smart farming, agritech, is growing in popularity and is starting to develop rapidly with some already existing technology that is implemented in agriculture for both industrial and private use. Objectives: The goal of this thesis is to investigate the benefits and issues with implementing technology in agriculture, agritech. In this thesis the investigation and research is performed by conduction a literature study and an experiment. Realization: A prototype was created to monitor the soil moisture level and calculating the average soil moisture value, then water the plants when neede
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Books on the topic "Smart agriculture"

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Dhaygude, Amol Dattatray, Suman Kumar Swarnkar, Priya Chugh, and Yogesh Kumar Rathore. Smart Agriculture. CRC Press, 2024. https://doi.org/10.1201/9781003508625.

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Ouda, Samiha, and Abd El-Hafeez Zohry. Climate-Smart Agriculture. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93111-7.

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Bhattacharyya, Pratap, Himanshu Pathak, and Sharmistha Pal. Climate Smart Agriculture. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9132-7.

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Lipper, Leslie, Nancy McCarthy, David Zilberman, Solomon Asfaw, and Giacomo Branca, eds. Climate Smart Agriculture. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-61194-5.

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Mkomwa, Saidi, and Amir Kassam, eds. Conservation agriculture in Africa: climate smart agricultural development. CABI, 2022. http://dx.doi.org/10.1079/9781789245745.0000.

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Abstract This book is about Conservation Agriculture (the use of no tillage systems) to preserve soil structure and integrity. It has become an increasingly important step towards sustainable farming. This publication brings together conservation agriculture and climate smart decision making processes for the first time, focusing on Africa. This book brings to the fore scientific and empirical evidence about Conservation Agriculture in Africa, articulated by the Second Africa Congress on Conservation Agriculture (2ACCA) held in Johannesburg in 2018. It describes how farmers in Africa are succe
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Boumerdassi, Selma, Mounir Ghogho, and Éric Renault, eds. Smart and Sustainable Agriculture. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88259-4.

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Popkova, Elena G., and Bruno S. Sergi, eds. Smart Innovation in Agriculture. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7633-8.

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Frühauf, Manfred, Georg Guggenberger, Tobias Meinel, Insa Theesfeld, and Sebastian Lentz, eds. KULUNDA: Climate Smart Agriculture. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-15927-6.

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Zhang, Qin, ed. Encyclopedia of Smart Agriculture Technologies. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89123-7.

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Rosenstock, Todd S., Andreea Nowak, and Evan Girvetz, eds. The Climate-Smart Agriculture Papers. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-92798-5.

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Book chapters on the topic "Smart agriculture"

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Sagarna, Juan, Yulia Barabanova, and Harald Sundmaeker. "Smart Agriculture." In Springer Handbooks. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-39650-2_24.

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Gábor, András, and Zoltán Szabó. "Smart agriculture." In Smart Business and Digital Transformation. Routledge, 2023. http://dx.doi.org/10.4324/9781003390312-18.

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Zinke-Wehlmann, Christian, and Karel Charvát. "Introduction of Smart Agriculture." In Big Data in Bioeconomy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_14.

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AbstractSmart agriculture is a rising area bringing the benefits of digitalization through big data, artificial intelligence and linked data into the agricultural domain. This chapter motivates the use and describes the rise of smart agriculture.
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Nelson, William M. "Smart agriculture through agricultural chemistry." In Sustainable Agricultural Chemistry in the 21st Century. CRC Press, 2023. http://dx.doi.org/10.1201/9781003157991-11.

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Gu, Haiyi, and Yunxia Li. "Aphid Detection Techniques: A State-of-Art Review." In Smart Agriculture. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4141-0_6.

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Mathew, Jithin Jose, Paulo Flores, Anup Kumar Das, Yongxin Jiang, and Zhao Zhang. "A Comprehensive Analysis of Different Object Detection Frameworks and Path Optimization Algorithms for an RGB-D Camera-Based Rock Detection System." In Smart Agriculture. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4141-0_7.

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Wang, Xingwang, Xufeng Wang, Can Hu, et al. "Research on Field Cotton Yield Prediction System Based on Improved Yolov5 Cotton Detection Model and Android Development." In Smart Agriculture. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4141-0_4.

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Lu, Yuqi, Meiwei Li, and Zhao Zhang. "Precision Handling of Green Apples in Orchard Environments Using Computer Vision." In Smart Agriculture. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4141-0_2.

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Rui, Z., Z. Zhang, and T. Chen. "A Review of Field Plant Phenotyping Platform, Sensing and Navigation Technology." In Smart Agriculture. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4141-0_1.

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Chen, Kuifan, Zhao Zhang, Azizi Afshin, and Yunxia Li. "Corn Diseased Leaf Segmentation Under Different Illumination Conditions." In Smart Agriculture. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4141-0_3.

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Conference papers on the topic "Smart agriculture"

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Das, Archana, Nagendra R, Preetham H S, Keerthi K, Diwakar V, and Abhishek N. "Smart Agriculture Using IoT." In 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT). IEEE, 2025. https://doi.org/10.1109/idciot64235.2025.10915070.

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Alakuş, Dilan Onat, and İbrahim Türkoğlu. "Smart Agriculture, Precision Agriculture, Digital Twins in Agriculture: Similarities and Differences." In 2024 Innovations in Intelligent Systems and Applications Conference (ASYU). IEEE, 2024. https://doi.org/10.1109/asyu62119.2024.10757158.

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Kumar, D. Manoj, R. Arthi, B. Sai Pavan Kumar, D.Manideep, Yeshwanth Kumar, and Vishnu Vihari. "FarmFusion: A Smart Agriculture Application." In 2025 International Conference on Emerging Systems and Intelligent Computing (ESIC). IEEE, 2025. https://doi.org/10.1109/esic64052.2025.10962652.

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S, Vijayashaarathi, Saranya K, Dhivyadharsan R, Akilesh S, Sasirekha N, and Hari Rajkumar J. "Smart Agriculture using Cloud Computing." In 2025 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2025. https://doi.org/10.1109/iciccs65191.2025.10985484.

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Mohamed, Albashir. "Smart Autonomous IoT Agricultural Monitoring System for Banana Agriculture in Egypt." In 2023 33rd International Conference on Computer Theory and Applications (ICCTA). IEEE, 2023. https://doi.org/10.1109/iccta60978.2023.10969353.

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Poonia, Ajay, Tanmay Garg, Ojaswini Mishra, Eashan Batra, and Ganeshan R. "Agriculture 4.0 - Integrated Smart Irrigation System." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724377.

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Rusev, Daniel, Mihaela Rusev, Stanimir Stoyanov, and Veneta Tabakova-Komsalova. "Imaging in a Smart Agriculture Platform." In 2024 IEEE 12th International Conference on Intelligent Systems (IS). IEEE, 2024. http://dx.doi.org/10.1109/is61756.2024.10705167.

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Marathe, Ashutosh, Jai Ughade, Tanvee Jungade, Krushna Kalamkar, Prathmesh Katepallewar, and Akanksha Kamble. "Enhancing Agriculture with Smart Sprinkler Systems." In 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2024. http://dx.doi.org/10.1109/i-smac61858.2024.10714876.

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Gour, Bhuvan, Preetam Suman, and Sasmita Padhy. "A new Paradigm of Smart Agriculture." In 2024 First International Conference on Data, Computation and Communication (ICDCC). IEEE, 2024. https://doi.org/10.1109/icdcc62744.2024.10961885.

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Chekuri, Rohan Karthikeya, Priya Darshni M, and Sivraj P. "Networked Mobile Robots for Smart Agriculture." In 2024 12th International Conference on Intelligent Systems and Embedded Design (ISED). IEEE, 2024. https://doi.org/10.1109/ised63599.2024.10957686.

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Reports on the topic "Smart agriculture"

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Parikh, Sanjai J., and Emilie Winfield. Climate-Smart Agriculture: Biochar Amendments. U.S. Department of Agriculture, California Climate Hub, 2020. http://dx.doi.org/10.32747/2020.7303346.ch.

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This fact sheet is the final installment of a four-part climate-smart agriculture series exploring the relationship between carbon farming, soil health, and soil amendments on CA croplands and rangelands. This fact sheet focuses on biochar amendments and previous fact sheets address the benefits of compost and pulverized rock. The series is intended for members of the technical assistance community who advise CA growers on climate-smart agriculture.
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Winfield, Emilie. Climate-Smart Agriculture: Rock Amendments. U.S. Department of Agriculture, California Climate Hub, 2020. http://dx.doi.org/10.32747/2020.7304495.ch.

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This fact sheet is the third installment of a four-part climate-smart agriculture series exploring the relationship between carbon farming, soil health, and soil amendments on CA croplands and rangelands. This fact sheet focuses on pulverized rock amendments and other fact sheets address the benefits of compost and biochar. The series is intended for members of the technical assistance community who advise CA growers on climate-smart agriculture.
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Winfield, Emilie. Climate-Smart Agriculture: Compost Amendments. U.S. Department of Agriculture, California Climate Hub, 2020. http://dx.doi.org/10.32747/2020.7304494.ch.

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This fact sheet is the second installment of a four-part climate-smart agriculture series exploring the relationship between carbon farming, soil health, and soil amendments on CA croplands and rangelands. This fact sheet focuses on compost and subsequent fact sheets will address the benefits of biochar and pulverized rock. The series is intended for members of the technical assistance community who advise CA growers on climate-smart agriculture.
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Barooah, Prapti, Muzna Fatima Alvi, Claudia Ringler, and Vishal Pathak. Gender, agriculture policies and climate smart agriculture in India. International Food Policy Research Institute, 2023. http://dx.doi.org/10.2499/p15738coll2.136537.

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Research Institute (IFPRI), International Food Policy. Trade, climate change, and climate-smart agriculture. International Food Policy Research Institute, 2017. http://dx.doi.org/10.2499/9780896292949_05.

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Blom-Zandstra, Greet, and Anne Elings. Workshops on Climate Smart Agriculture in Algeria. Wageningen Research Foundation (WR) business units Agrosystems Research and Greenhouse Horticulture, 2017. http://dx.doi.org/10.18174/444735.

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Harmayani, Eni. Indonesia tempe production supported by smart agriculture. Edited by Ria Ernunsari and Sara Phillips. Monash University, 2022. http://dx.doi.org/10.54377/c6a8-a95c.

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Hasegawa, Toshihiro, Kenya Kuwahata, Ichiro Tsurusaki, Lurhathaiopath Puangkaew, and Yasue Davaasuren. APO Members' Need and Readiness for Climate-Smart Agriculture Technologies. Asian Productivity Organization, 2024. http://dx.doi.org/10.61145/oevf4768.

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Faced with escalating climate challenges, the agricultural sector is at a critical juncture. In view of this, the APO Center of Excellence on Climate-smart Agriculture (CSA) has been spearheading development and dissemination of cutting-edge CSA technologies since April 2023. This report gauges the need and readiness for implementing these technologies and transforming agriculture in Asia, based on a survey across eight member economies. The insights from the surveys pave the way for resilient agriculture in the region, set a milestone for guiding future initiatives and fostering knowledge exc
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Langendahl, Per-Anders, Maria Tunberg, and Suvi Kokko. Smart Urban Agriculture : exploring its development in Sweden. SLU Future food, Swedish University of Agricultural Sciences, 2022. http://dx.doi.org/10.54612/a.7hllg1t7av.

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Smart urban agriculture initiatives where food is produced in closed, controlled and digitally augmented environments, such as vertical farms, plant factories and aquaponics systems can be found in cities across the globe. Such initiatives produce fresh food all year around using less chemicals and require fewer food miles. However, critiques of smart urban agriculture suggest it is a marginal activity that often produces food with low nutritional value and requires energy intensive artificial lighting. Technological advances in digitalisation and food production as well as social and economic
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Winfield, Emilie. Climate-Smart Agriculture: Soil Health & Carbon Farming. U.S. Department of Agriculture, California Climate Hub, 2020. http://dx.doi.org/10.32747/2020.7303347.ch.

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Abstract:
This fact sheet is the first installment of a four-part climate smart agriculture series exploring the relationship between carbon farming, soil health, and soil amendments on CA croplands and rangelands. Subsequent fact sheets will address the benefits of compost, pulverized rock, and biochar as amendments. The series is intended for members of the technical assistance community who advice CA growers on climate smart agriculture.
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