Artificial Intelligence enabled robotics and automation in modern agriculture

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Abstract Agriculture is a necessary part of enduring human existence by offering food as well as occupation, notably by inducing the market and nature. Robotics in agriculture improves efficacy and production by automating tasks such as planting, harvesting, and monitoring yield conditions. This study explores how automation and robotics can be used in agriculture to lower environmental impacts and to understand the world's developing needs. It addresses concerns about how skills can upgrade farming, reassure sustainability, and transform industry. The research observed data-driven precision irrigation techniques and drones that work on their own for crop inspection. It is an instance when agriculture is a bound attempt between technical knowledge and individual skills, yielding a strong agricultural ecosystem. Agriculture incorporates systematic and creative methods to increase crop production and raise animals. This study examines the ability of automation and robotics in agriculture to reduce ecological harm and achieve the increasing demands of the overall population. It reviews how these skills can improve agricultural procedures, encourage environmental sustainability, and alter farming practices. This research examines the usage of data-driven correctness of irrigation techniques and self-directed drones for supervising crops. It sees a future in which agriculture combines advanced skills with human capability, resulting in a farming landscape that is adaptable and sustainable. Agricultural robotics and automation offer increased productivity, competence, and sustainability in the face of challenges, such as food shortages and ecological concerns. This paper provides an overview of these technologies and highlights their capability to reduce labor expenditure and effectively handle resources. It employs tasks such as commercial and scientific limitations, suggesting results that influence developments in artificial intelligence and sensors. To address this challenge, several machine learning models have been applied.
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Artificial Intelligence enabled robotics and automation in modern agriculture | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Artificial Intelligence enabled robotics and automation in modern agriculture Divya C D, Prapul chandra AC, Rakesh M, Bharath TS, Haseebuddin MR, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8601053/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Agriculture is a necessary part of enduring human existence by offering food as well as occupation, notably by inducing the market and nature. Robotics in agriculture improves efficacy and production by automating tasks such as planting, harvesting, and monitoring yield conditions. This study explores how automation and robotics can be used in agriculture to lower environmental impacts and to understand the world's developing needs. It addresses concerns about how skills can upgrade farming, reassure sustainability, and transform industry. The research observed data-driven precision irrigation techniques and drones that work on their own for crop inspection. It is an instance when agriculture is a bound attempt between technical knowledge and individual skills, yielding a strong agricultural ecosystem. Agriculture incorporates systematic and creative methods to increase crop production and raise animals. This study examines the ability of automation and robotics in agriculture to reduce ecological harm and achieve the increasing demands of the overall population. It reviews how these skills can improve agricultural procedures, encourage environmental sustainability, and alter farming practices. This research examines the usage of data-driven correctness of irrigation techniques and self-directed drones for supervising crops. It sees a future in which agriculture combines advanced skills with human capability, resulting in a farming landscape that is adaptable and sustainable. Agricultural robotics and automation offer increased productivity, competence, and sustainability in the face of challenges, such as food shortages and ecological concerns. This paper provides an overview of these technologies and highlights their capability to reduce labor expenditure and effectively handle resources. It employs tasks such as commercial and scientific limitations, suggesting results that influence developments in artificial intelligence and sensors. To address this challenge, several machine learning models have been applied. Agriculture Robotics Artificial Intelligence Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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