作者
Rakesh Mohan Pujahari, Satya Prakash Yadav, Rijwan Khan
发表日期
2022/1/1
图书
Application of Machine Learning in Agriculture
页码范围
113-130
出版商
Academic Press
简介
Weather forecasting can help with a farmer’s planning for crop productivity. Forecasts can support farmers in planning many daily decisions. These decisions may include crop irrigation, optimum time to fertilize, and what days are suitable for working in the field to increase productivity. The judicious decisions that farmers take will result in a profitable crop.
For a successful harvest, the farmer has to be aware of the moisture, light, temperature, etc. Various elaborate weather information, which includes past records, present weather, and future forecasts are essential. Many timely decisions contribute to the cost of the crop. As an example, a farmer could save water and money by not irrigating when rain is forecast. It is also important for farmers to have knowledge about the optimum time to apply fertilizer, along with the application rate and type of fertilizer to use. Adverse weather at the time of application can wash away …
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RM Pujahari, SP Yadav, R Khan - Application of Machine Learning in Agriculture, 2022