We are in a race against time to combat climate change and increase food production by
70% to feed the ever‐growing world population, which is expected to double by 2050 …

LiDAR sensors have great potential for enabling crop recognition (eg, plant height, canopy
area, plant spacing, and intra-row spacing measurements) and the recognition of …

Canopeo app was developed as a simple, accurate, rapid, and free tool to analyze ground
cover fraction (GCF) from red-green-blue (RGB) images and videos captured in the field …

The assessment of plant health and quality is a critical aspect of plant biology, agriculture,
and the food industry. With the global population continuously increasing, the demand for …

Plant phenomics deals with the measurement of plant phenotypes associated with genetic
and environmental variation in controlled environment agriculture (CEA). Encompassing a …

Computer vision techniques offer promising tools for disease detection in orchards and can
enable effective phenoty** for the selection of resistant cultivars in breeding programmes …

Smart agriculture is a new agricultural production mode and is considered a potential
solution for food supply issues under current limited land space conditions. The application …

The development of Canopeo as a close-range remote sensor for measuring ground cover
fraction (GCF) offered farmers and scientists an accurate, simple, low-cost tool for monitoring …

The objective of this research was to assess the feasibility of remote sensing (RS)
technology, specifically an unmanned aerial system (UAS), to estimate Bambara groundnut …

Measuring crop biomass is an integral process in agriculture, as it directly indicates the
growth status of the crop. However, the traditional biomass measurement process is …