| Autor: |
Rajamani, Santhosh Kumar, Rose, J.T.Anita, Devi, Manoharmayum Dolpriya, Saini, Prashant, KUMAR, SUSHIL, Acharya, Balbhagvan, J, Sathyendra Bhat, Kumar, P.Shantan, Tajane, Sharad Timaji, sengar, Rupal |
| Rok vydání: |
2022 |
| DOI: |
10.6084/m9.figshare.21431016.v2 |
| Popis: |
The Internet of Things is one of the most prominent ways for humans to communicate with one another. It can be utilised in numerous ways. The majority of farms continue to have difficulty obtaining the water their crops require. A lack of water can harm both the soil and the crops. A functional monitoring or control system could be instrumental in fixing this issue. Approximately 75% of Indians are employed in agriculture. When agricultural output grows in India, India's GDP changes significantly. Pests and diseases can cause harm to the leaves and stems of plants. Damage to plants diminishes the quantity and quality of agricultural profits. Among the most important components of plant monitoring in agriculture is maintaining healthy crop growth. Monitoring plant growth and disease detection by hand is time-consuming and labor-intensive. Plant problems can be diagnosed using AI, IoT, ML, DL, as well as other cutting-edge AI/ML/ML/DL methods. In a significant number of instances, the affected leaves, stems, and fruits were detected. This study provides an algorithm for diagnosing plant ailments and prescribing appropriate treatments. Depending on the particulars of the issue, an automated prototype may be able to correctly handle the plants. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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