Artificial intelligence and internet of things oriented sustainable precision farming: Towards modern agriculture
Agriculture encompasses the study, practice, and discipline of plant cultivation. Agriculture has an extensive history dating back thousands of years. Depending on climate and terrain, it began independently in various locations on the planet. In comparison to what could be sustained by foraging and...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2023-10-01
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| Series: | Open Life Sciences |
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| Online Access: | https://doi.org/10.1515/biol-2022-0713 |
| _version_ | 1797653334405939200 |
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| author | Sharma Amit Sharma Ashutosh Tselykh Alexey Bozhenyuk Alexander Choudhury Tanupriya Alomar Madani Abdu Sánchez-Chero Manuel |
| author_facet | Sharma Amit Sharma Ashutosh Tselykh Alexey Bozhenyuk Alexander Choudhury Tanupriya Alomar Madani Abdu Sánchez-Chero Manuel |
| author_sort | Sharma Amit |
| collection | DOAJ |
| description | Agriculture encompasses the study, practice, and discipline of plant cultivation. Agriculture has an extensive history dating back thousands of years. Depending on climate and terrain, it began independently in various locations on the planet. In comparison to what could be sustained by foraging and gathering, agriculture has the potential to significantly increase the human population. Throughout the twenty-first century, precision farming (PF) has increased the agricultural output. precision agriculture (PA) is a technology-enabled method of agriculture that assesses, monitors, and evaluates the needs of specific fields and commodities. The primary objective of this farming method, as opposed to conventional farming, is to increase crop yields and profitability through the precise application of inputs. This work describes in depth the development and function of artificial intelligence (AI) and the internet of things (IoT) in contemporary agriculture. Modern day-to-day applications rely extensively on AI and the IoT. Modern agriculture leverages AI and IoT for technological advancement. This improves the accuracy and profitability of modern agriculture. The use of AI and IoT in modern smart precision agricultural applications is highlighted in this work and the method proposed incorporates specific steps in PF and demonstrates superior performance compared to existing classification methods. It achieves a remarkable accuracy of 98.65%, precision of 98.32%, and recall rate of 97.65% while retaining competitive execution time of 0.23 s, when analysing PF using the FAOSTAT benchmark dataset. Additionally, crucial equipment and methods used in PF are described and the vital advantages and real-time tools utilised in PA are covered in detail. |
| first_indexed | 2024-03-11T16:43:09Z |
| format | Article |
| id | doaj.art-36c6a495d31c4aea81ca58a854ffa33a |
| institution | Directory Open Access Journal |
| issn | 2391-5412 |
| language | English |
| last_indexed | 2024-03-11T16:43:09Z |
| publishDate | 2023-10-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Life Sciences |
| spelling | doaj.art-36c6a495d31c4aea81ca58a854ffa33a2023-10-23T07:49:54ZengDe GruyterOpen Life Sciences2391-54122023-10-011813132610.1515/biol-2022-0713Artificial intelligence and internet of things oriented sustainable precision farming: Towards modern agricultureSharma Amit0Sharma Ashutosh1Tselykh Alexey2Bozhenyuk Alexander3Choudhury Tanupriya4Alomar Madani Abdu5Sánchez-Chero Manuel6Institute of Computer Technologies and Information Security, Southern Federal University, Taganrog, 347922, RussiaChitkara University Institute of Engineering and Technology, Chitkara University, Punjab, IndiaInstitute of Computer Technologies and Information Security, Southern Federal University, Taganrog, 347922, RussiaInstitute of Computer Technologies and Information Security, Southern Federal University, Taganrog, 347922, RussiaSymbiosis Institute of Technology, Symbiosis International University, Pune, Maharashtra, 412115, IndiaDepartment of Industrial Engineering, Faculty of Engineering – Rabigh, King Abdulaziz University, Jeddah21589, Saudi ArabiaUniversidad Nacional de Frontera, Sullana, Perú, Facultad de Ingeniería de Industrias Alimentarias y Biotecnología, Sullana, PeruAgriculture encompasses the study, practice, and discipline of plant cultivation. Agriculture has an extensive history dating back thousands of years. Depending on climate and terrain, it began independently in various locations on the planet. In comparison to what could be sustained by foraging and gathering, agriculture has the potential to significantly increase the human population. Throughout the twenty-first century, precision farming (PF) has increased the agricultural output. precision agriculture (PA) is a technology-enabled method of agriculture that assesses, monitors, and evaluates the needs of specific fields and commodities. The primary objective of this farming method, as opposed to conventional farming, is to increase crop yields and profitability through the precise application of inputs. This work describes in depth the development and function of artificial intelligence (AI) and the internet of things (IoT) in contemporary agriculture. Modern day-to-day applications rely extensively on AI and the IoT. Modern agriculture leverages AI and IoT for technological advancement. This improves the accuracy and profitability of modern agriculture. The use of AI and IoT in modern smart precision agricultural applications is highlighted in this work and the method proposed incorporates specific steps in PF and demonstrates superior performance compared to existing classification methods. It achieves a remarkable accuracy of 98.65%, precision of 98.32%, and recall rate of 97.65% while retaining competitive execution time of 0.23 s, when analysing PF using the FAOSTAT benchmark dataset. Additionally, crucial equipment and methods used in PF are described and the vital advantages and real-time tools utilised in PA are covered in detail.https://doi.org/10.1515/biol-2022-0713iotartificial intelligencemethanolrenewal energysustainable development |
| spellingShingle | Sharma Amit Sharma Ashutosh Tselykh Alexey Bozhenyuk Alexander Choudhury Tanupriya Alomar Madani Abdu Sánchez-Chero Manuel Artificial intelligence and internet of things oriented sustainable precision farming: Towards modern agriculture Open Life Sciences iot artificial intelligence methanol renewal energy sustainable development |
| title | Artificial intelligence and internet of things oriented sustainable precision farming: Towards modern agriculture |
| title_full | Artificial intelligence and internet of things oriented sustainable precision farming: Towards modern agriculture |
| title_fullStr | Artificial intelligence and internet of things oriented sustainable precision farming: Towards modern agriculture |
| title_full_unstemmed | Artificial intelligence and internet of things oriented sustainable precision farming: Towards modern agriculture |
| title_short | Artificial intelligence and internet of things oriented sustainable precision farming: Towards modern agriculture |
| title_sort | artificial intelligence and internet of things oriented sustainable precision farming towards modern agriculture |
| topic | iot artificial intelligence methanol renewal energy sustainable development |
| url | https://doi.org/10.1515/biol-2022-0713 |
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