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

A wide variety of algorithms are used in machine learning to develop models that can
anticipate future data that has not yet been observed and learn predictive rules from existing …

Crop production forecasting is a huge challenge nowadays, resulting in inaccurate results
such as food shortages, economic instability, inefficient resource allocation, environmental …

The authors look at the application of neural networks to sustainable business development
in the construction industry. The actual work of self-learning neural networks with statistical …

Prediction of Crop yield focuses primarily on agriculture research which will have a
significant effect on making decisions such as import-export, pricing and distribution of …

Science and technological knowledge advancements have resulted in a vast number of data
for the agricultural industry. Crop yield prediction (CYP) is a problematic issue in the …

For most developed nations, agriculture is a significant economic force. The realm of
contemporary agriculture is consistently growing with evolving farming techniques and …

India is the land of agriculture, which is the backbone of the country. The most common
issue among young Indian farmers is selecting the appropriate crop based on soil …

Agriculture has emerged as a significant source of paychecks for many nations that are
developing. The agricultural community in these countries has numerous kinds of issues …

India is a leading force in agriculture, responsible for more than 80% of the global crop
production. However, it experiences challenges like as droughts and floods that damage the …