Results 21 to 30 of about 402,690 (217)
APPLICATION HEIGHT IN HERBICIDES EFFICIENCY IN BEAN CROPS [PDF]
Planta Daninha, 2015 ABSTRACTInadequate herbicide application can result in failures in weed control and/or poisoning of the crops, resulting in yield losses. In this research were assessed the effects of the sprayer nozzle boom height in the distribution of the spray solution for weed control, influencing intoxication of beans and crop yield. Experiments were conducted in
PEREIRA, G. A. M. +6 more
openaire +4 more sources
Image-Based High-Throughput Phenotyping of Cereals Early Vigor and Weed-Competitiveness Traits
Remote Sensing, 2020 Cereals grains are the prime component of the human diet worldwide. To promote food security and sustainability, new approaches to non-chemical weed control are needed. Early vigor cultivars with enhanced weed-competitiveness ability are a potential tool,
Shlomi Aharon +4 more
doaj +1 more source
Sensitivity of LiDAR Parameters to Aboveground Biomass in Winter Spelt
Drones, 2023 Information about the current biomass state of crops is important to evaluate whether the growth conditions are adequate in terms of water and nutrient supply to determine if there is need to react to diseases and to predict the expected yield.
Carsten Montzka +4 more
doaj +1 more source
Remote Sensing, 2014 Precision Farming (PF) management strategies are commonly based on estimations of within-field yield potential, often derived from remotely-sensed products, e.g., Vegetation Index (VI) maps.
Jakob Geipel +2 more
doaj +1 more source
Estimation of Vegetable Crop Parameter by Multi-temporal UAV-Borne Images
Remote Sensing, 2018 3D point cloud analysis of imagery collected by unmanned aerial vehicles (UAV) has been shown to be a valuable tool for estimation of crop phenotypic traits, such as plant height, in several species.
Thomas Moeckel +6 more
doaj +1 more source
Remote Sensing, 2018 Timely and accurate estimates of crop parameters are crucial for agriculture management. Unmanned aerial vehicles (UAVs) carrying sophisticated cameras are very pertinent for this work because they can obtain remote-sensing images with higher temporal ...
Jibo Yue +7 more
doaj +1 more source
Drones, 2021 Crop yield prediction and estimation play essential roles in the precision crop management system. The Simple Algorithm for Yield Estimation (SAFY) has been applied to Unmanned Aerial Vehicle (UAV)-based data to provide high spatial yield prediction and ...
Yang Song, Jinfei Wang, Bo Shan
doaj +1 more source
The application of time-series MODIS NDVI profiles for the acquisition of crop information across Afghanistan [PDF]
, 2014 We investigated and developed a prototype crop information system integrating 250 m Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data with other available remotely sensed imagery, field data, and ...
Juniper, Graham R. +3 more
core +1 more source
On crop height estimation with UAVs
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014 Remote sensing by Unmanned Aerial Vehicles (UAVs) is changing the way agriculture operates by increasing the spatial-temporal resolution of data collection. Micro-UAVs have the potential to further improve and enrich the data collected by operating close to the crops, enabling the collection of higher spatio-temporal resolution data.
Anthony, David +3 more
openaire +2 more sources
Estimating Biomass and Canopy Height With LiDAR for Field Crop Breeding [PDF]
Frontiers in Plant Science, 2019 Above-ground biomass (AGB) is a trait with much potential for exploitation within wheat breeding programs and is linked closely to canopy height (CH). However, collecting phenotypic data for AGB and CH within breeding programs is labor intensive, and in the case of AGB, destructive and prone to assessment error.
James D. C. Walter +6 more
openaire +3 more sources