Numerical investigation of future potato yields in Bangladesh using Machine learning and IoT
The changing environment has significantly affected Bangladesh for the past several decades, and a number of minerals and nutrients are in short supply in the human population. However, not only are we being affected by the effects of climate change, but also the crops cultivated on our farms are f...
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| Format: | Article |
| Language: | English |
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National University of Modern Languages (NUML), Islamabad
2024-10-01
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| Series: | NUML International Journal of Engineering and Computing |
| Online Access: | https://nijec.numl.edu.pk/index.php/nijec/article/view/60 |
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| author | Kabyo Deb Rahul Das SAURAV SARKAR DR. MD. SOHIDUL ISLAM NAZNIN NAHAR KHANOM MIM |
| author_facet | Kabyo Deb Rahul Das SAURAV SARKAR DR. MD. SOHIDUL ISLAM NAZNIN NAHAR KHANOM MIM |
| author_sort | Kabyo Deb |
| collection | DOAJ |
| description |
The changing environment has significantly affected Bangladesh for the past several decades, and a number of minerals and nutrients are in short supply in the human population. However, not only are we being affected by the effects of climate change, but also the crops cultivated on our farms are feeling its impact. The nutrient content and growth of food crops are affected by many components of climate change, such as rising temperatures, increased precipitation, rising CO2 levels, etc. It is commonly regarded that potatoes are one of the healthiest and most popular foods in Bangladesh, with an abundance of nutrients and electrolytes that are beneficial to the body. However, in the not-too-distant future, the production of potatoes will be affected by the high temperature and decreased precipitation resulting from climate change. As potatoes are one of the most essential staple foods in Bangladesh, a viable solution must be found for continuous potato production in the country. A comprehensive examination of the evolution, production, and important nutrients of potatoes will be performed in this study. A range of sensors, networks, drones, cameras, and applications will be collected for the purpose of monitoring the potato field and ensuring that the crops are cultivated in an acceptable environment. This idea can aid our country economically and agriculturally by increasing potato production. Potatoes are affordable for consumers from all socioeconomic classes. Through this idea, Producers will achieve a successful harvest of nutrient-rich potatoes for public consumption.
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| format | Article |
| id | doaj-art-45c60df9dba848f792afae8b0349a102 |
| institution | Kabale University |
| issn | 2788-9629 2791-3465 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | National University of Modern Languages (NUML), Islamabad |
| record_format | Article |
| series | NUML International Journal of Engineering and Computing |
| spelling | doaj-art-45c60df9dba848f792afae8b0349a1022024-12-09T20:53:51ZengNational University of Modern Languages (NUML), IslamabadNUML International Journal of Engineering and Computing2788-96292791-34652024-10-013110.52015/nijec.v3i1.60Numerical investigation of future potato yields in Bangladesh using Machine learning and IoTKabyo Deb0Rahul Das1SAURAV SARKAR2DR. MD. SOHIDUL ISLAM3NAZNIN NAHAR KHANOM MIM4American International University, BangladeshAmerican International University BangladeshAmerican International University BangladeshAmerican International University BangladeshAmerican International University Bangladesh The changing environment has significantly affected Bangladesh for the past several decades, and a number of minerals and nutrients are in short supply in the human population. However, not only are we being affected by the effects of climate change, but also the crops cultivated on our farms are feeling its impact. The nutrient content and growth of food crops are affected by many components of climate change, such as rising temperatures, increased precipitation, rising CO2 levels, etc. It is commonly regarded that potatoes are one of the healthiest and most popular foods in Bangladesh, with an abundance of nutrients and electrolytes that are beneficial to the body. However, in the not-too-distant future, the production of potatoes will be affected by the high temperature and decreased precipitation resulting from climate change. As potatoes are one of the most essential staple foods in Bangladesh, a viable solution must be found for continuous potato production in the country. A comprehensive examination of the evolution, production, and important nutrients of potatoes will be performed in this study. A range of sensors, networks, drones, cameras, and applications will be collected for the purpose of monitoring the potato field and ensuring that the crops are cultivated in an acceptable environment. This idea can aid our country economically and agriculturally by increasing potato production. Potatoes are affordable for consumers from all socioeconomic classes. Through this idea, Producers will achieve a successful harvest of nutrient-rich potatoes for public consumption. https://nijec.numl.edu.pk/index.php/nijec/article/view/60 |
| spellingShingle | Kabyo Deb Rahul Das SAURAV SARKAR DR. MD. SOHIDUL ISLAM NAZNIN NAHAR KHANOM MIM Numerical investigation of future potato yields in Bangladesh using Machine learning and IoT NUML International Journal of Engineering and Computing |
| title | Numerical investigation of future potato yields in Bangladesh using Machine learning and IoT |
| title_full | Numerical investigation of future potato yields in Bangladesh using Machine learning and IoT |
| title_fullStr | Numerical investigation of future potato yields in Bangladesh using Machine learning and IoT |
| title_full_unstemmed | Numerical investigation of future potato yields in Bangladesh using Machine learning and IoT |
| title_short | Numerical investigation of future potato yields in Bangladesh using Machine learning and IoT |
| title_sort | numerical investigation of future potato yields in bangladesh using machine learning and iot |
| url | https://nijec.numl.edu.pk/index.php/nijec/article/view/60 |
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