A Survey on Crop Yield Prediction using Machine Learning
Main Article Content
Abstract
In a country within the economy of the state, the agricultural sector plays a vital role. several advances within the field of agriculture have conjointly been enforced in recent years. Serious analysis is happening everywhere the planet with the event of IoT, massive knowledge technology and machine learnings regarding however farmers and even the govt. square measure learning a way to do this. whereas the fortification of agriculture may be classified and analyzed in several areas, like crop management, ground management, weed identification, water management, yield management, eutherian management, we'll think about crop yield management as a result of we have a tendency to believe it to be the surroundings within which an excellent deal of technical progress goes to permit the farmer to urge his crop to his right level. during this article, we'll study specially machine learning and profound learning ways of varied researchers likewise as their impact within the agriculture business on crop yield management.
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
