In the context of increasing global population and climate change, modern agriculture must
enhance production efficiency. Vegetables production is crucial for human nutrition and has …

The potato is a key crop in addressing global hunger, and deep learning is at the core of
smart agriculture. Applying deep learning (eg, YOLO series, ResNet, CNN, LSTM, etc.) in …

Abstract Visible-Near Infrared (vis-NIR) spectroscopy can provide a faster, cost-effective, and
user-friendly solution to monitor leaf N status, potentially overcoming the limitations of …

Crop intelligence and yield prediction of potato (Solanum tuberosum L.) are important to
farmers and the processing industry. Remote sensing can provide timely information on …

Potato canopy nitrogen content (CNC) is an imperative metric for assessing potato growth
status and guiding field management. While the spectral index can be utilized to estimate …

Nowadays, Unmanned Aerial Systems (UASs) provide an efficient and relatively affordable
remote sensing technology for assessing vegetation attributes and status across agricultural …

The application of hyperspectral imaging (HSI) has gained significant importance in the past
decade, particulary in the context of food analysis, including potatoes. However, the current …

Estimating leaf nutrient concentration in field crops is essential to increase crop yield by
optimum fertiliser application. Notably, these practices become more critical for short-cycle …

As the world's leading corn producer, the United States supplies more than 30% of the
global corn production. Accurate and timely estimation of corn yield is therefore essential for …

Potato (Solanum tuberosum L.) is the fourth most important food crop globally and is the
largest acreage non-cereal crop after rice, wheat, and maize. Precise trait phenotyping is …