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Food is very essential for human life and it is fundamental to the human experience. Food-related study may support multifarious applications and services, such as guiding the human behavior, improving the human health and understanding the…

Computers and Society · Computer Science 2019-07-17 Weiqing Min , Shuqiang Jiang , Linhu Liu , Yong Rui , Ramesh Jain

Smart Farming has brought a major transformation in the agriculture process by using the Internet of Things (IoT) devices, emerging technologies such as cloud computing, fog computing, and data analytics. It allows farmers to have real-time…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-12 Jagruti Sahoo , Kristin Barrett

The Hybrid Technology Hub and many other research centers work in cross-functional teams whose workflow is not necessarily linear and where in many cases technology advances are done through parallel work. The lack of proper tools and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-18 Pavel Vazquez , Kayoko Shoji , Steffen Novik , Stefan Krauss , Simon Rayner

The world population is anticipated to increase by close to 2 billion by 2050 causing a rapid escalation of food demand. A recent projection shows that the world is lagging behind accomplishing the "Zero Hunger" goal, in spite of some…

Human population growth has driven rising demand for food that has, in turn, imposed huge impacts on the environment. In an effort to reconcile our need to produce more sustenance while also protecting the ecosystems of the world, farming…

Cryptography and Security · Computer Science 2022-03-14 Hossein Mohammadi Rouzbahani , Hadis Karimipour , Evan Fraser , Ali Dehghantanha , Emily Duncan , Arthur Green , Conchobhair Russell

Machine learning, satellites or local sensors are key factors for a sustainable and resource-saving optimisation of agriculture and proved its values for the management of agricultural land. Up to now, the main focus was on the enlargement…

Machine Learning · Computer Science 2022-04-06 Michael L. Marszalek , Bertrand Le Saux , Pierre-Philippe Mathieu , Artur Nowakowski , Daniel Springer

The application of digital technologies in agriculture can improve traditional practices to adapt to climate change, reduce Greenhouse Gases (GHG) emissions, and promote a sustainable intensification for food security. Some authors argued…

Digital Libraries · Computer Science 2021-10-19 Riccardo Bertoglio , Chiara Corbo , Filippo M. Renga , Matteo Matteucci

The agricultural industry is undergoing a significant transformation with the increasing adoption of autonomous technologies. Addressing complex challenges related to safety and security, components and validation procedures, and liability…

Computers and Society · Computer Science 2025-01-31 Georg Happich , Alexander Grever , Julius Schöning

Farmers face several challenges when growing crops like uncertain irrigation, poor soil quality, etc. Especially in India, a major fraction of farmers do not have the knowledge to select appropriate crops and fertilizers. Moreover, crop…

Machine Learning · Computer Science 2022-04-26 Shloka Gupta , Akshay Chopade , Nishit Jain , Aparna Bhonde

All sciences, including astronomy, are now entering the era of information abundance. The exponentially increasing volume and complexity of modern data sets promises to transform the scientific practice, but also poses a number of common…

Astrophysics · Physics 2016-11-17 S. G. Djorgovski

Modern agricultural technology and the increasing digitalisation of such processes provide a wide range of data. However, their efficient and beneficial use suffers from legitimate concerns about data sovereignty and control, format…

Computers and Society · Computer Science 2019-11-18 Julian Klose , Markus Schröder , Silke Becker , Ansgar Bernardi , Arno Ruckelshausen

The Privacy Sandbox, launched in 2019, is a series of proposals from Google to reduce ``cross-site and cross-app tracking while helping to keep online content and services free for all''. Over the years, Google implemented, experimented,…

Cryptography and Security · Computer Science 2025-12-04 Yohan Beugin , Patrick McDaniel

Nowadays, precision agriculture combined with modern information and communications technologies, is becoming more common in agricultural activities such as automated irrigation systems, precision planting, variable rate applications of…

Computers and Society · Computer Science 2018-07-03 Vuong M. Ngo , Nhien-An Le-Khac , M-Tahar Kechadi

The agriculture sector is increasingly adopting innovative technologies to meet the growing food demands of the global population. To optimize resource utilization and minimize crop losses, farmers are joining cooperatives to share their…

Cryptography and Security · Computer Science 2024-11-25 Lopamudra Praharaj , Deepti Gupta , Maanak Gupta

Large scale monitoring systems, enabled by the emergence of networked embedded sensing devices, offer the opportunity of fine grained online spatio-temporal collection, communication and analysis of physical parameters. Various applications…

Signal Processing · Electrical Eng. & Systems 2019-06-07 Grigore Stamatescu , Cristian Dragana , Iulia Stamatescu , Loretta Ichim , Dan Popescu

Food security, a global concern, necessitates precise and diverse data-driven solutions to address its multifaceted challenges. This paper explores the integration of AI foundation models across various food security applications,…

Artificial Intelligence · Computer Science 2023-11-01 Mohamed R. Shoaib , Heba M. Emara , Jun Zhao

In contrast to the rapid digitalization of several industries, agriculture suffers from low adoption of smart farming tools. While AI-driven digital agriculture tools can offer high-performing predictive functionalities, they lack tangible…

As global challenges of population growth, climate change, and resource scarcity intensify, the agricultural landscape is at a critical juncture. Sustainable vertical farming emerges as a transformative solution to address these challenges…

Computers and Society · Computer Science 2023-12-04 Hribhu Chowdhury , Debo Brata Paul Argha , Md Ashik Ahmed

Research collaborations are continuously emerging catalyzed by online platforms, where people can share their codes, calculations, data and results. These virtual research platforms are innovative, community oriented, flexible and secure as…

This paper proposes a data privacy protection framework based on federated learning, which aims to realize effective cross-domain data collaboration under the premise of ensuring data privacy through distributed learning. Federated learning…

Machine Learning · Computer Science 2025-04-02 Yiwei Zhang , Jie Liu , Jiawei Wang , Lu Dai , Fan Guo , Guohui Cai