The utilization of machine vision and its associated algorithms improves the efficiency,
functionality, intelligence, and remote interactivity of harvesting robots in complex …

The past few years have seen increased interest in unmanned aerial vehicle (UAV)-based
hyperspectral imaging (HSI) and machine learning (ML) in agricultural research …

Advances in sensor miniaturization are increasing the global popularity of unmanned aerial
vehicle (UAV)-based remote sensing applications in many domains of agriculture. Fruit …

This paper presents a framework based on machine learning algorithms to predict nutrient
content in leaf hyperspectral measurements. This is the first approach to evaluate macro-and …

Japanese horseradish (wasabi) grows in very specific conditions, and recent environmental
climate changes have damaged wasabi production. In addition, the optimal culture methods …

Conventional methods of plant nutrient estimation for nutrient management need a huge
number of leaf or tissue samples and extensive chemical analysis, which is time-consuming …

Hyperspectral cameras onboard unmanned aerial vehicles (UAVs) have recently emerged
for monitoring crop traits at the sub-field scale. Different physical, statistical, and hybrid …

Monitoring leaf Chlorophyll (Chl) in-situ is labor-intensive, limiting representative sampling
for detailed mapping of Chl variability at field scales across time. Unmanned aeria-l vehicles …

Forests and orchards are not only vital for the nature as the lungs of the earth but also crucial
as a source of food production. In these fields, so-called Oracha-forest could mainly benefit …

Red palm weevil (RPW) is widely considered a key pest of palms, creating extensive
damages to the date palm trunk that inevitably leads to palm death if no pest eradication is …