Recently, agriculture has gained much attention regarding automation by artificial
intelligence techniques and robotic systems. Particularly, with the advancements in machine …

Investment in technological research is imperative to stimulate the development of
sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and …

Plant-leaf disease detection is one of the key problems of smart agriculture which has a
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …

Population growth, climate change, and the worldwide COVID-19 pandemic are imposing
increasing pressure on global agricultural production. The challenge of increasing crop yield …

Insect pest is one of the main causes affecting agricultural crop yield and quality all over the
world. Rapid and reliable insect pest monitoring plays a crucial role in population prediction …

Recent advances in communication technologies with the emergence of connected objects
have changed the agricultural area. In this new digital age, the development of artificial …

Subsistence farmers and global food security depend on sufficient food production, which
aligns with the UN's “Zero Hunger,”“Climate Action,” and “Responsible Consumption and …

The Segment Anything Model (SAM) is a versatile image segmentation model that enables
zero-shot segmentation of various objects in any image using prompts, including bounding …

Plant diseases and pests cause significant losses in agriculture, with economic, ecological
and social implications. Therefore, early detection of plant diseases and pests via automated …

Globally, insect pests are the primary reason for reduced crop yield and quality. Although
pesticides are commonly used to control and eliminate these pests, they can have adverse …