Development of model for crop leaf fault detection using internet of things
| dc.contributor.guide | Miri, R | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Shukla, A | |
| dc.date.accessioned | 2022-04-08T05:49:41Z | |
| dc.date.available | 2022-04-08T05:49:41Z | |
| dc.date.awarded | 2021 | |
| dc.date.completed | 2021 | |
| dc.date.registered | 2019 | |
| dc.description.abstract | Agriculture sector plays a major role in the Indian economy; there are a large number of farmers in India who are putting in the hard work, and those farmers are the pillars for the Indian economy. However, there are numerous problems that Indian farmers must deal with, including rainfall, crop failure and leaf disease. These issues are wreaking havoc on their cultivating practices.These problems have had a negative impact on their ability to cultivate. In India, there are different kinds of farmers who are still not embracing innovation and are growing their crops in the conventional way. newlineBeyond farming, backwoods are subjected to contamination difficulties, which create a cascade of problems across the forest, and as a result, the animals that consume those plants get affected with a range of diseases.In these conditions, it is possible that early disease identification might have been helpful. Because of their medicinal qualities, leaves from a wide range of plants and flavours are helpful to mankind as a whole. Developing Countries, where a significant part of the population is dependent on agriculture for work, offer benefits and food security to the rest of the world. Furthermore, disease-related incidents can have a significant financial effect, resulting in a decrease in remuneration for crop creators, among other things. | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | DVD | |
| dc.format.dimensions | ||
| dc.format.extent | ||
| dc.identifier.uri | http://hdl.handle.net/10603/372857 | |
| dc.language | English | |
| dc.publisher.institution | Computer Science and Engineering | |
| dc.publisher.place | Kota | |
| dc.publisher.university | Dr. C.V. Raman University | |
| dc.relation | ||
| dc.rights | self | |
| dc.source.university | University | |
| dc.subject.keyword | Computer Science | |
| dc.subject.keyword | Computer Science Software Engineering | |
| dc.subject.keyword | Engineering and Technology | |
| dc.title | Development of model for crop leaf fault detection using internet of things | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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