In recent years, precision agriculture and smart farming have been deployed by leaps and
bounds as arable land has become increasingly scarce. According to the Food and …

At present, the mainstream mode of machine learning algorithms is the data‐driven method,
which mainly relies on the self‐learning ability of deep neural networks and continuously …

Deep learning has played a crucial role in the field of smart agriculture and been widely
used in various applications. However, the deep learning models are constrained by data …

In this paper, we review, compare, and analyze previous studies on agricultural machinery
automatic navigation and path planning technologies. First, the paper introduces the …

Human agricultural activities are always accompanied by pests and diseases, which have
brought great losses to the production of crops. Intelligent algorithms based on deep …

The past decade has witnessed the rapid development and adoption of machine and deep
learning (ML & DL) methodologies in agricultural systems, showcased by great successes in …

In precision agriculture, robotic arms exhibit significant technical advantages, such as
enhancing operational precision and efficiency, reducing labor costs, and supporting …

Autonomous tractors use a GNSS-based approach combined with other sensors to provide
higher efficiency and minimize human intervention. The basis of field automated navigation …

Fruit-picking robots are one of the important means to promote agricultural modernization
and improve agricultural efficiency. With the development of artificial intelligence technology …

With the advancement of communication technology from 5G to 6G, future communication
networks will no longer be limited to land and air, and the ocean will also become the …