It takes the average reader 2 hours and 26 minutes to read A Smart Agriculture Land Suitability Detection Model Using Machine Learning with Google Earth Engine by M Amir Latif, Rana
Assuming a reading speed of 250 words per minute. Learn more
The development and growth of plants and crops heavily depend on the number of mineral nutrients and their concentrations available in the soil, moisture in the soil, air quality and water availability. Plants or crops sometimes face challenges in obtaining a sufficient amount of nutrients for the necessary cellular process from the soil due to immobility. The decrease in crops' growth, fertility, or poor food quality happens due to deficiency of natural nutrients, soil moisture, and water, which is required to meet the demand of plants' necessary cellular processes. Lack of nutrients in the...
A Smart Agriculture Land Suitability Detection Model Using Machine Learning with Google Earth Engine by M Amir Latif, Rana is 144 pages long, and a total of 36,576 words.
This makes it 49% the length of the average book. It also has 45% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours and 19 minutes to read A Smart Agriculture Land Suitability Detection Model Using Machine Learning with Google Earth Engine aloud.
A Smart Agriculture Land Suitability Detection Model Using Machine Learning with Google Earth Engine is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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