Accurately predicting agricultural commodity prices is crucial for India's economy. Traditional
parametric models struggle with stringent assumptions, while machine learning (ML) …

Crop disease in the plant is a significant issue in the agriculture sector, and it is currently
very difficult to detect these illnesses in crop leaves. The foundation of the global economy is …

Tomato yield prediction plays an important role in agricultural production planning and
management, market supply and demand balance, and agricultural risk management. To …

A radial basis function neural network (RBFNN), with a strong function approximation ability,
was proven to be an effective tool for nonlinear process modeling. However, in many …

The use of herbicides has been carried out without considering the physical and chemical
properties of the soil and its variation in the different producing regions. Its interaction is …

In China, Wedelia trilobata (WT) is among the top most invasive plant species. The
prediction of its growth, using different efficient methods under different environmental …

The lowest height at which a product can fall without suffering severe harm is known as the"
critical drop height" for agricultural products. It is a crucial factor to take into account for crops …

Drought, rising demand for water, declining water resources, and mismanagement have put
society at serious risk. Therefore, it is essential to provide appropriate solutions to increase …

Tomatoes are among the world's most significant vegetables, both in terms of production
and consumption. Harvesting takes place in tomato production when the important quality …

Mineral nutrition of orchard soil is critical for the growth of fruit trees and improvement of fruit
quality. In the present study, the effects of soil mineral nutrients on peach fruit quality were …