Leveraging Computer-Aided Design (CAD) and Manufacturing (CAM) tools with advanced
Industry 4.0 (I4. 0) technologies presents numerous opportunities for industries to optimize …

Introduction Cotton yield estimation is crucial in the agricultural process, where the accuracy
of boll detection during the flocculation period significantly influences yield estimations in …

In recent years, unmanned aerial vehicle (UAV) remote sensing systems have advanced
rapidly, enabling the effective assessment of crop growth through the processing and …

Recently, agriculture has gained much attention regarding forecasting and prediction with
the advancement of artificial intelligence techniques. Advancements in Machine Learning …

Apple is one of the globally significant perennial fruits, with high consumption driven by the
demand for nutritional food diversity and population growth. There is a lack of understanding …

Tree-and block-level prediction of mango yield is important for farm operations, but current
manual methods are inefficient. Previous research has identified the accuracies of mango …

Flexible sensors for food quality control are experiencing rapid development. The purpose of
this study is to address the time‐consuming issues associated with traditional fruit grading …

Spatially enabled yield forecasting is a key component of farm Management Information
Systems (MISs) for broadacre grain production, enabling management decisions such as …

The rapid development of machine learning technology has increased its popularity,
especially in addressing regression problems. Machine Learning algorithms play a crucial …

Horticulture is a versatile field which encompasses a plethora of day to day strategic
decisions like varietal selection, optimisation of resources, understanding the mechanisms …