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 …

Timely and cost-effective crop yield prediction is vital in crop management decision-making.
This study evaluates the efficacy of Unmanned Aerial Vehicle (UAV)-based Vegetation …

Improvements in crop productivity are required to meet the dietary demands of the rapidly-
increasing African population. The development of key staple crop cultivars that are high …

Lint yield in cotton is governed by light intercepted by the canopy (IPAR), radiation use
efficiency (RUE), and harvest index (HI). However, the conventional methods of measuring …

Crop yield prediction from UAV images has significant potential in accelerating and
revolutionizing crop breeding pipelines. Although convolutional neural networks (CNN) …

UAV multispectral technology is used to obtain leaf area index (LAI) and aboveground
biomass (AGB) information on Cinnamomum camphora (C. camphora) and to diagnose the …

The transformation of age-old farming practices through the integration of digitization and
automation has sparked a revolution in agriculture that is driven by cutting-edge computer …

Obtaining the number of plants is the key to evaluating the effect of maize mechanical
sowing, and is also a reference for subsequent statistics on the number of missing …

One of the bottlenecks in the development of UAV-based crop growth estimation models has
been the need for ground-truth data collection through plant sampling. Thus, we investigated …

Purpose Accurately estimating rice yield before harvesting is crucial for effective crop
management, food trade assessment, and national food policy planning to ensure food …