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 …

Machine learning is an emerging research field in crop yield analysis. Yield prediction is a
very important issue in agriculture. Any farmer is interested in knowing how much yield he is …

As we are aware of the fact that, most of Indians have agriculture as their occupation.
Farmers usually have the mindset of planting the same crop, using more fertilizers and …

As we know the fact that, India is the second largest population country in the world and
majority of people in India have agriculture as their occupation. Farmers are growing same …

The impact of climate change in India, most of the agricultural crops are being badly affected
in terms of their performance over a period of the last two decades. Predicting the crop yield …

Agriculture is one of the major and the least paid occupation in India. Machine learning can
bring a boom in the agriculture field by changing the income scenario through growing the …

Agriculture sector is backbone of Indian Economy. However Agriculture sector in India is
facing severe problem of maximising the crop productivity. Farmers lack in basic knowledge …

For most developing countries, agriculture is their primary source of revenue. Modern
agriculture is a constantly growing approach for agricultural advances and farming …

Objective: This paper has been prepared as an effort to reassess the research studies on the
relevance of machine learning techniques in the domain of agricultural crop production …

Agriculture is the primary source of livelihood which forms the backbone of our country.
Current challenges of water shortages, uncontrolled cost due to demand-supply, and …