索引于
  • 打开 J 门
  • Genamics 期刊搜索
  • 学术钥匙
  • 研究圣经
  • 宇宙IF
  • 访问全球在线农业研究 (AGORA)
  • 电子期刊图书馆
  • 参考搜索
  • 研究期刊索引目录 (DRJI)
  • 哈姆达大学
  • 亚利桑那州EBSCO
  • OCLC-WorldCat
  • 学者指导
  • SWB 在线目录
  • 虚拟生物学图书馆 (vifabio)
  • 普布隆斯
  • 日内瓦医学教育与研究基金会
  • 欧洲酒吧
  • 谷歌学术
分享此页面
期刊传单
Flyer image

抽象的

Design and Development of an Intelligent Robot for Improving Crop Productivity using Machine Learning

Pratiksha Singh*

India is second most populated country in the world and to fulfill the basic needs of the population the country needs to have a watch on food, shelter and vesture. AI and machine learning has grabbed their place in many fields, one of those is agriculture. Using the prediction techniques and intelligence AI and machine learning has contributed a lot in the agricultural domain. In this paper we are focusing on an agrobot that analyzes the plant’s need by checking the soil moisture and need of water in the plant. It also analyses other needs of the plant and discover ways to increase the productivity of the plant. The bot has previously stored information of the diseases the plant would get affected from, the machine is trained and tested to check the same. The main work of the bot is to capture the image with the camera that is attached with raspberry pi 4. The agrobot checks the input image by pre-processing the image and squinching the obnoxious raw material. The image acquisition is done and the image is filtered and enhanced to give the best possible information. Raspberry pi is trained with CNN algorithm. It does the feature scaling and find the region of interest. The CNN checks whether the plant is infected or healthy. If the plant is infected it predicts the disease the plant is suffering from, using the trained data. If a disease is encountered the agrobot provides the name of the disease. It also checks for the possible medication for it. The cause of the disease is then found and the suggestion for the prevention of the disease is also provided. This eventually increases the productivity of the crop. It interacts with the farmer and provide adjuration to increase the productivity of the crop thereby meeting the ever increasing demand of food of the increasing population. The agrobot doesn't need any external control, it moves on it's own. Using the concepts of machine learning and artificial intelligence the robot helps the farmer to produce the best quality crop. With less chemical use which eventually increases the food and soil quality. In this paper we have provided the brief of what the agrobot is capable of doing. It is a farmer friend which is working for the betterment of agricultural sector.

免责声明: 此摘要通过人工智能工具翻译,尚未经过审核或验证