Going beyond previous work, this paper presents a systematic literature review that explores
the deployment of satellites, drones, and ground-based sensors for yield prediction in …

Drones are being used for agriculture monitoring in many different crops. Nevertheless, the
use of drones for green areas' evaluation is limited, and information is scattered. In this …

In Peru, common bean varieties adapt very well to arid zones, and it is essential to
strengthen their evaluations accurately during their phenological stage by using remote …

Drought is a significant constraint in bean production. In this study, we used high-throughput
phenotyping methods (chlorophyll fluorescence imaging, multispectral imaging, 3D …

The application of crop growth simulation and water management models will become
increasingly important in the future. They can be used to predict yield reductions due to …

The applicability of remote sensing enables the prediction of nutritional value, phytosanitary
conditions, and productivity of crops in a non-destructive manner, with greater efficiency than …

Abstract The Mexican bean beetle, Epilachna varivestis Mulsant (Coleoptera:
Coccinellidae), is a key pest of beans, and early detection of bean damage is crucial for the …

With the increasing world population, global warming, and climate change, water scarcity
significantly limits water use in crop production. Therefore, timely and accurate …

The possibilities of using unmanned aerial vehicles (UAVs)-based on multispectral sensors
and data produced from images taken from agricultural areas in digital agriculture …

The common bean is a crop of substantial socioeconomic importance that is cultivated
throughout the Brazilian territory. Despite that, studies conducted so far have shown …