Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …

Agriculture plays a significant part in India due to their population growth and increased food
demands. Hence, there is a need to enhance the yield of crop. One of these important effects …

Robots must first detect the number of banana bunches when making judgements on sterile
bud removal and estimating weight for harvest in the field environment. Banana bunches are …

Abstract" Digital" agriculture is rapidly affecting the value of agricultural output. Robotic
picking of the ripe agricultural product enables accurate and rapid picking, making …

Deep learning achieved high success of fruit-on-plant detection such as on apple. Most of
studies on apple detection identified all target fruits as one class regardless of fruit condition …

With the increasing global water scarcity, efficient assessment methods for crop water stress
have become a prerequisite to perform precision irrigation scheduling. The 1accessibility of …

Apples in modern orchards with vertical-fruiting-wall trees are comparatively easier to
harvest and specifically suitable for robotic picking, where accurate apple detection and …

Continuing progress in machine learning (ML) has led to significant advancements in
agricultural tasks. Due to its strong ability to extract high-dimensional features from fruit …

Deep learning is known as a promising multifunctional tool for processing images and other
big data. By assimilating large amounts of heterogeneous data, deep-learning technology …

The development of an intelligent jujube fruit harvesting device is a critical step in achieving
the whole mechanization process. Catch‐and‐shake harvesting, as an efficient and stable …