Effective approaches to achieve food safety and security can prevent catastrophic situations.
Therefore, it is required to monitor agricultural crops on a regular basis. This can be easily …

The sugarcane crop has great socioeconomic relevance because of its use in the production
of sugar, bioelectricity, and ethanol. Mainly cultivated in tropical and subtropical countries …

Crop discrimination helps monitor crops and strengthen the agricultural industry to secure
food supplies. From existing crop-related studies and observations, found that vegetative …

Crop yield prediction at regional levels is an essential task for the decision-makers for rapid
decision making. Pre-harvest prediction of a crop yield can prevent a disastrous situation …

In an era marked by growing global population and climate variability, ensuring food security
has become a paramount concern. Rice, being a staple crop for billions of people, requires …

By analysing biochemical composition, assessing soil quality, projecting yields, predicting
productivity, identifying illnesses, and predicting productivity, artificial intelligence (AI) has …

Over the years, agricultural management practices are being improved as they integrate
Information and Communication Technologies (ICT) and Precision Agriculture tools …

Ensemble Learning, the concept of generating, training, and employing multiple machine
learning models for inference rather than just one, is of increasing interest. It offers an …

As a raw material for sugar, ethanol, and energy, sugarcane plays an important role in
China's strategic material reserves, economic development, and energy production. To …

The production of “Nocciola Romana” hazelnuts in the province of Viterbo, Italy, has evolved
into a highly efficient and profitable agro-industrial system. Our approach is based on a …