The ornamental crop industry is an important contributor to the economy in the United
States. The industry has been facing challenges due to continuously increasing labor and …

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 …

In many parts of the world, apple trees suffer from severe foliar damage each year due to
infection of Alternaria blotch (Alternaria alternata f. sp. Mali), resulting in serious economic …

Autonomous detection and segmentation of tree canopies, trunks, and nontarget areas is
crucial for optimizing pesticide use and minimizing off-target spray deposition in orchards for …

When unmanned aerial vehicles (UAVs) are used for orchard chemicals application,
accurate measurement of the canopy volume can provide decision support for determining …

This study proposes a deep learning-based real-time variable flow control system using the
segmentation of fruit trees in a pear orchard. The real-time flow rate control, undesired …

Estimating tree volume is crucial for managing apple orchards, as it reflects the nutritional
status and vigor of the trees. However, accurate assessment of tree volume in apple …

The accurate and rapid acquisition of fruit tree canopy parameters is fundamental for
achieving precision operations in orchard robotics, including accurate spraying and precise …

Plant protection products (PPP) are used to protect apples from pests and diseases and to
maintain high yields and fruit quality. Alternatively, non-chemical plant protection measures …

Adding tank-mix adjuvants into the spray mixture is a common practice to improve droplet
distribution for field crops (eg., rice, wheat, corn, etc.) when using Unmanned Aerial Vehicle …