An Analysis Study Based on Linear Regression Model for Changes of Fruit Size over Plum Diseases
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There are different types of diseases occur in plants and fruits due to the changes of not only the climate, weather, and seasons, but also the environmental factors like temperature, humidity, and rainfall etc. Diseases can change the structure of plants, fruits and also crops. The influence of plants and fruits disease affects our agriculture industry and agriculture sector. Diseases can interrupt our plant’s growth, fruits growth, production growth, and also makes an effect on economic growth all over the world. Farmers have a lot of experience in detecting problems and also they can identify the diseases in various plants. They can easily take care or actions for environmental factorial diseases but sometimes it’s not working. Technologies can support farmers to make their methods more reliable to improve farmer’s crops and fruits quality for a good production. Therefore in this study, we analyse different types of plum plant diseases and then use the linear regression model to know the condition of plum fruit size using plum growth, plum length and plum width. In result and discussion, we identify the environment factorial diseases in plum and also make a decision by verifying the plum fruits size after diseases occurred in Plum Plants.
Abstract
There are different types of diseases occur in plants and fruits due to the changes of not only the climate, weather, and seasons, but also the environmental factors like temperature, humidity, and rainfall etc. Diseases can change the structure of plants, fruits and also crops. The influence of plants and fruits disease affects our agriculture industry and agriculture sector. Diseases can interrupt our plant’s growth, fruits growth, production growth, and also makes an effect on economic growth all over the world. Farmers have a lot of experience in detecting problems and also they can identify the diseases in various plants. They can easily take care or actions for environmental factorial diseases but sometimes it’s not working. Technologies can support farmers to make their methods more reliable to improve farmer’s crops and fruits quality for a good production. Therefore in this study, we analyse different types of plum plant diseases and then use the linear regression model to know the condition of plum fruit size using plum growth, plum length and plum width. In result and discussion, we identify the environment factorial diseases in plum and also make a decision by verifying the plum fruits size after diseases occurred in Plum Plants.
참고문헌 (17)
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