Today, crop suggestions and necessary guidance have become a regular need for a farmer.
Farmers generally depend on their local agriculture officers regarding this, and it may be …

In recent years, there has been growing interest in recommendation systems, which is
matched by their widespread adoption across various sectors. This can be attributed to their …

To ensure food security for the ever-growing population, agricultural production needs to be
increased by 50% by 2050 with the dwindling natural resources. Recently, crop yields are …

This article introduces a new crop prediction method using hybrid machine learning (ML)
and deep learning (DL) models. The proposed model comprises four phases: data …

In this technological era, several approaches used to provide the information about suitable
crop recommendation means which is crop is suitable for soil. Some of approaches depends …

Machine learning plays a major role in every sector. Machine learning makes the work
easier and more accurate. A significant source of employment is farming in Tamil Nadu …

A significant part of sedentary human civilization is agriculture. The crop yield will grow with
the correct kind of crop planted. Systems for making recommendations can be made using a …

Bangladesh is essentially an agricultural nation, and its economy is heavily dependent on it.
A farmer could plant a crop if he knew which one would yield more. The existing literature …

When analyzing agriculture's total factor productivity, traditional measurement approaches
do not take into account the inefficiency value. The production functions are assumed to be …

Agriculture is the backbone of civilization. It has equal importance like the technological
growth. Major challenge in agriculture is prevent the plant from getting diseases by insects …