Earlier, crop cultivation was undertaken on the basis of farmers' hands-on expertise.
However, climate change has begun to affect crop yields badly. Consequently, farmers are …

Agriculture is a growing field of research. In particular, crop prediction in agriculture is critical
and is chiefly contingent upon soil and environment conditions, including rainfall, humidity …

Machine learning applications are having a great impact on the global economy by
transforming the data processing method and decision making. Agriculture is one of the …

Crop cultivation prediction is an integral part of agriculture and is primarily based on factors
such as soil, environmental features like rainfall and temperature, and the quantum of …

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 …

Food security has become a real challenge for some organizations in charge of the food
program and for the majority of countries, especially African countries. The United Nations …

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 …

The cultivation of most crops depends upon the regional weather conditions. So, the
analysis of the agro-climatic conditions of a zone contributes significantly to deciding the …

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 …

The innovation in science and technical knowledge has prompted an enormous amount of
information for the agrarian sector. Machine learning has risen with massive processing …