Intelligent agriculture is critical for guiding agricultural production and enhancing efficiency
through early disease diagnosis, yield estimation, automatic harvest, and postharvest …

Tomatoes possess significant nutritional and economic value. However, frequent diseases
can detrimentally impact their quality and yield. Images of tomato diseases captured amidst …

Artificial Intelligence (AI) applications related to agriculture have recently gained in use and
attention. They are indeed valuable tools for interpreting data, improving production chains …

Automated detection and identification of vegetable diseases can enhance vegetable quality
and increase profits. Images of greenhouse-grown vegetable diseases often feature …

Agriculture is one of the fundamental components of human civilization, contributing not only
to food production but also to economic growth. Early identification of diseases in plants …

Coffee leaf diseases are a significant challenge for coffee cultivation. They can reduce
yields, impact bean quality, and necessitate costly disease management efforts. Manual …

In recent years, sustainable agriculture has become increasingly important due to
challenges such as climate change, population growth, and the need for food security …

The increasing prevalence of plant pathogens presents a critical challenge to global food
security and agricultural sustainability. While accurate, traditional diagnostic methods are …

This study addresses key challenges in optimizing agricultural industry structures and
facilitating intelligent transformation through the application of deep learning algorithms and …

Agriculture is the golden thread that fastens all the sustainable development goals globally.
However, the massive population explosion and ecosystem degradation have pressurized …