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Silva, A.N
Zur, Y
Thomas, A.D
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Authors
Pimstein, A
Zur, Y
Le Roux, M
Thomas, A.D
Fulton, J.P
Khanal, S
Ortez, O
McGlinch, G
Souza, W.J
Silva, A.N
Topics
Remote Sensing Applications in Precision Agriculture
Application of Granular Materials with Drones
Geospatial Data
Type
Oral
Year
2016
2024
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1. Retrieving Crops' Quantitative Biophysical Parameters Through a Newly Developed Multispectral Sensor for UAV Platforms

Today’s intensive agricultural production needs to increase its efficiency in order to keep its profitability in the current market of decreasing prices on one hand, and to reduce the environmental impact on the other. Crop growers are starting to adopt side dressing nitrogen fertilization as part of their fertilization programs, for which they need accurate information about biomass development and nitrogen condition in the crop. This information is usually acquired through ground sampling,... A. Pimstein, Y. Zur, M. Le roux

2. Assessing the Distribution Uniformity of Broadcast-interseeded Cover Crops at Different Crop Stages by an Unmanned Aerial Vehicle

Drones can now carry larger payloads and have become more affordable, making them a viable option to use for broadcast-interseeding cover crops in the fall, prior to main crop harvest. This strategy has become popular in Ohio over the past two years. However, this new strategy arose quickly with a limited understanding of field performance of the drone’s distribution uniformity under different parameters such as rates, swath widths, speeds, or cash crop type. Therefore, the objective of... A.D. Thomas, J.P. Fulton, S. Khanal, O. Ortez, G. Mcglinch

3. Precision Agriculture: Forage Chopper Noise Level As an Estimator of Corn Silage Production in Small Farms

The objective of the work carried out in the Registro County, SP, Brazil, in the year 2021, was to study the forage chopper noise level as an estimator of corn silage production in small farms. The corn crop study and characterization were measured plant height (PH), height of first ear insertion (HEI) and green mass production of plants (GM) were studied. The noise (NO) produced by the forage machine during ensiling was collected by recording, considering it as a potential yield estimator during... W.J. Souza, A.N. Silva