Fruit is a key crop in worldwide agriculture feeding millions of people. The standard supply
chain of fruit products involves quality checks to guarantee freshness, taste, and, most of all …

Deep Learning (DL), a type of Machine Learning, has gained significant interest in many
fields, including agriculture. This paper aims to shed light on deep learning techniques used …

Plant diseases are a severe cause of crop losses in the agriculture globally. Detection of
diseases in plants is difficult and challenging due to the lack of expert knowledge. Deep …

Infection in apple leaves is typically brought on by unanticipated weather conditions such as
rain, hailstorms, draughts, and fog. As a direct consequence of this, the farmers suffer a …

The global human population is constantly increasing whereas the agricultural land
resources are declining for reasons of urban settlements and industrial growth. This has …

Disease detection in plants is essential for food security and economic stability. Unmanned
aerial vehicle (UAV) imagery and artificial intelligence (AI) are valuable tools for it. The …

Multispectral imaging systems combined with deep learning classification models can be
cost-effective tools for the early detection of apple scab (Venturia inaequalis) disease in …

This article explores the dynamic evolution of digital marketing and communication
strategies within agricultural enterprises across diverse social media platforms amidst the …

Climate change is the major cause of large-scale human migration, and the United Nations
has labeled it a``threat multiplier''that can trigger social, political, and international …

Agriculture industry experiences a significant loss in crop productivity as a result of
unpredictably occurring environmental factors such hailstorms, draughts, fog, and untimely …