Advancements and challenges in agriculture: a comprehensive review of machine learning and IoT applications in vertical farming and controlled environment agriculture
Farming is not easy to approach things, as we must feed approximately 8 million people daily. Traditional farming is an old-fashioned technique that takes so much time to produce. Due to this, we need some modern technology to increase our production. But research has shown that in 50 years, there w...
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| Format: | Article |
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REA Press
2024-06-01
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| Series: | Big Data and Computing Visions |
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| Online Access: | https://www.bidacv.com/article_205623_6c82f6b67740e9c2e1e755585b4c27db.pdf |
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| author | Binoy Sasmal Gobinda Das Preeti Mallick Sneha Dey Suman Ghorai Subrata Jana Chiranjibe Jana |
| author_facet | Binoy Sasmal Gobinda Das Preeti Mallick Sneha Dey Suman Ghorai Subrata Jana Chiranjibe Jana |
| author_sort | Binoy Sasmal |
| collection | DOAJ |
| description | Farming is not easy to approach things, as we must feed approximately 8 million people daily. Traditional farming is an old-fashioned technique that takes so much time to produce. Due to this, we need some modern technology to increase our production. But research has shown that in 50 years, there will be 8.3 billion more people on Earth than there are now. It will need an extra 109 hectares of cropland, which doesn't already exist, to feed these new immigrants. There are also clear signs that pollution and the rise in population are worsening. Despite the benefits of smart traditional farming, there are a number of drawbacks to traditional farming. Regardless of soil pollution, water pollution, land pollution, energy loss, climatic conditions, electricity waste, and transportation costs, another option will be better for the food production industry. According to the research, to feed 8 billion people, we would need an additional 109 hectares of land. That is the typical problem that the farmers will face because most of the hollandaise nowadays. So, using this building concept, we will implement indoor farming, which means planting fruits and vegetables inside the tall building, an advanced form of a greenhouse. The innovative idea, also known as Vertical Farming (VF), integrates agricultural design with building design in a tall structure inside of cities. Implementing VF will solve many challenges by utilizing modern machine learning, IoT, and AI techniques, increasing VF productivity and quality. In VF, aeroponics consumes 98% less water than conventional farming. Human health, comfort, and productivity directly correlate with the indoor climate. Systems for vertical plant walls with sensors and actuators have become a good way to control the environment inside a building. They are using a set-up of vertical plant walls with anomaly detection techniques based on machine learning to increase automation and intelligence for predictive indoor climate maintenance. |
| format | Article |
| id | doaj-art-224e26dff9804b9da9426f6351a4c5d0 |
| institution | Kabale University |
| issn | 2783-4956 2821-014X |
| language | English |
| publishDate | 2024-06-01 |
| publisher | REA Press |
| record_format | Article |
| series | Big Data and Computing Visions |
| spelling | doaj-art-224e26dff9804b9da9426f6351a4c5d02025-01-30T12:23:26ZengREA PressBig Data and Computing Visions2783-49562821-014X2024-06-0142679410.22105/bdcv.2024.474315.1183205623Advancements and challenges in agriculture: a comprehensive review of machine learning and IoT applications in vertical farming and controlled environment agricultureBinoy Sasmal0Gobinda Das1Preeti Mallick2Sneha Dey3Suman Ghorai4Subrata Jana5Chiranjibe Jana6Department of Computer Science and Engineering, National Institute of Technology, Arunachal Pradesh.Department of Computer Science and Engineering, Seacom Engineering College, Howrah, West Bengal, India.Department of Computer Science and Engineering, Seacom Engineering College, Howrah, West Bengal, India.Department of Computer Science and Engineering, Seacom Engineering College, Howrah, West Bengal, India.Department of Computer Science and Engineering, Seacom Engineering College, Howrah, West Bengal, India.Department of Mathematics, Jadavpur University, Kolkata, West Bengal, India.Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai 602105, Tamil Nadu, India.Farming is not easy to approach things, as we must feed approximately 8 million people daily. Traditional farming is an old-fashioned technique that takes so much time to produce. Due to this, we need some modern technology to increase our production. But research has shown that in 50 years, there will be 8.3 billion more people on Earth than there are now. It will need an extra 109 hectares of cropland, which doesn't already exist, to feed these new immigrants. There are also clear signs that pollution and the rise in population are worsening. Despite the benefits of smart traditional farming, there are a number of drawbacks to traditional farming. Regardless of soil pollution, water pollution, land pollution, energy loss, climatic conditions, electricity waste, and transportation costs, another option will be better for the food production industry. According to the research, to feed 8 billion people, we would need an additional 109 hectares of land. That is the typical problem that the farmers will face because most of the hollandaise nowadays. So, using this building concept, we will implement indoor farming, which means planting fruits and vegetables inside the tall building, an advanced form of a greenhouse. The innovative idea, also known as Vertical Farming (VF), integrates agricultural design with building design in a tall structure inside of cities. Implementing VF will solve many challenges by utilizing modern machine learning, IoT, and AI techniques, increasing VF productivity and quality. In VF, aeroponics consumes 98% less water than conventional farming. Human health, comfort, and productivity directly correlate with the indoor climate. Systems for vertical plant walls with sensors and actuators have become a good way to control the environment inside a building. They are using a set-up of vertical plant walls with anomaly detection techniques based on machine learning to increase automation and intelligence for predictive indoor climate maintenance.https://www.bidacv.com/article_205623_6c82f6b67740e9c2e1e755585b4c27db.pdfdrawbacks of traditional farmingvertical farmingsensors and actuatorsanomaly detectionpredictive indoor climate maintenance |
| spellingShingle | Binoy Sasmal Gobinda Das Preeti Mallick Sneha Dey Suman Ghorai Subrata Jana Chiranjibe Jana Advancements and challenges in agriculture: a comprehensive review of machine learning and IoT applications in vertical farming and controlled environment agriculture Big Data and Computing Visions drawbacks of traditional farming vertical farming sensors and actuators anomaly detection predictive indoor climate maintenance |
| title | Advancements and challenges in agriculture: a comprehensive review of machine learning and IoT applications in vertical farming and controlled environment agriculture |
| title_full | Advancements and challenges in agriculture: a comprehensive review of machine learning and IoT applications in vertical farming and controlled environment agriculture |
| title_fullStr | Advancements and challenges in agriculture: a comprehensive review of machine learning and IoT applications in vertical farming and controlled environment agriculture |
| title_full_unstemmed | Advancements and challenges in agriculture: a comprehensive review of machine learning and IoT applications in vertical farming and controlled environment agriculture |
| title_short | Advancements and challenges in agriculture: a comprehensive review of machine learning and IoT applications in vertical farming and controlled environment agriculture |
| title_sort | advancements and challenges in agriculture a comprehensive review of machine learning and iot applications in vertical farming and controlled environment agriculture |
| topic | drawbacks of traditional farming vertical farming sensors and actuators anomaly detection predictive indoor climate maintenance |
| url | https://www.bidacv.com/article_205623_6c82f6b67740e9c2e1e755585b4c27db.pdf |
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