Abstract Machine Learning is a successful dynamic device for foreseeing crop yields, just as
for choosing which harvests to plant and what to do about them during the developing …

In recent years, with the increase in big data technologies the Machine learning is an
important decision support tool, smart farming observes the behavior of climate change over …

Agriculture is the most important sector that influences the economy of India. It contributes to
18% of India's Gross Domestic Product (GDP) and gives employment to 50% of the …

Medicinal plants extracts are a rich natural source of bioactive phytochemicals (mainly
polyphenols). This study aims at determining the total polyphenols content (TPC) of nine …

In order to guarantee the rice yield more effectively, the prediction of rice yield should be
taken into account. Because the rice yield every year can be seen as a sequence of time …

Due to climate change and its impact on agriculture, accurate estimate of future crops yield
is very critical for low-lying countries like Bangladesh. Rice is the most consumed crop for …

There are a diverse set of products for a particular type on the internet. When any user tries
to find out best product among a certain type it is very much difficult to do it manually go …

The production of wheat plays an important role in Pakistan's economy. Wheat yield
forecasting is significant farming problem as it's the most important crop of Pakistan …

Machine learning Has performed a essential position within the estimation of crop yield for
both farmers and consumers of the products. Machine learning techniques learn from data …

Rain prediction is a crucial topic that continues to gain interest across the globe. Rain has a
massive impact on various aspects of human life such as in agriculture, health …