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Tronco, M.L
Twickler, P
Tarshish, R
Toledo, O.M
Torres-Sánchez, J
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Authors
Büscher, P
Twickler, P
Marquering, D
Müller, M
Maack, D
Peña, J
de Castro, A
López-Granados, F
Torres-Sánchez, J
Brian, S
Toledo, O.M
Tang, L
Lugli, L.C
Tronco, M.L
Porto, A.J
Pelta, R
Beeri, O
Shilo, T
Tarshish, R
Sahoo, M
Tarshish, R
Alchanatis , V
Herrmann, I
Topics
Precision Dairy and Livestock Management
Applications of UAVs (unmanned aircraft vehicle systems) in precision agriculture
Emerging Issues in Precision Agriculture (Energy, Biofuels, Climate Change, Standards)
Robotics, Guidance and Automation
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
Proximal and Remote Sensing of Soils and Crops (including Phenotyping)
Type
Oral
Year
2014
2018
2022
2024
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Filter results6 paper(s) found.

1. NIRS Sensor Controlled Total-Mixed-Ration For Nutrient Optimized Feeding Of Dairy Cattle

The exact regulation of dry matter, energy and ingredients in fodder rations provides a large advantage in order to optimize an economical animal nutrition. Feed mixer wagons are used to feed Gras and Maize silage together with other components. It can be used in combination with a transponder system for feed concentrate as well as for feeding of a total mixed ration. The online measurement system based on NIR-spectrometric sensors to measure DM-content and other nutrients should... P. Büscher, P. Twickler, D. Marquering, M. Müller, D. Maack

2. Weed Seedlings Detection In Winter Cereals For Site-Specific Control: Use Of UAV Imagery To Overcome The Challenge

Weed management is an important part of the investments in crop production. Cost of herbicides accounts for approximately 40% of the cost of all the chemicals applied to agricultural land in Europe. In order to increase the profitability of crop production and to reduce the environmental concerns related to chemicals application, it is needed to develop site-specific weed management strategies in which herbicides are only applied in the crop zones were weeds spread. Moreover, these... J. Peña, A. De castro, F. López-granados, J. Torres-sánchez

3. Assessing Impact Of Precision On Agricultural Energy Requirements: Weed Control Case Study

The anticipated world population increase demands growth in sustainable food production. The current trend is to use more efficient agricultural processes in order to increase food production. Precision agriculture (PA) technology provides the means to increase equipment productivity and field and input efficiency. The concept of small modular and scalable intelligent machines tries to address the challenge of more productivity with the goal of reduced cost and power. In addition,... S. Brian, O.M. Toledo, L. Tang

4. Computer Vision Techniques Applied to Natural Scenes Recognition and Autonomous Locomotion of Agricultural Mobile Robots

The use of computer systems in Precision Agriculture (PA) promotes the processes’ automation and its applied tasks, specifically the inspection and analysis of agricultural crops, and guided/autonomous locomotion of mobile robots. In this context, this research aims the application of computer vision techniques for agricultural mobile robot locomotion, settled through an architecture for the acquisition, image processing and analysis, in order to segment, classify and recognize patterns... L.C. Lugli, M.L. Tronco, A.J. Porto

5. A Hyperlocal Machine Learning Approach to Estimate NDVI from SAR Images for Agricultural Fields

The normalized difference vegetation index (NDVI) is a key parameter in precision agriculture used globally since the 1970s. The NDVI is sensitive to the biochemical and physiological properties of the crop and is based on the Red (~650 nm) and NIR (~850 nm) spectral bands. It is used as a proxy to monitor crop growth, correlates to the crop coefficient (Kc), leaf area index (LAI), crop cover, and more. Yet, it is susceptible to clouds and other atmospheric conditions which might alter... R. Pelta, O. Beeri, T. Shilo, R. Tarshish

6. Comparing Hyperspectral and Thermal UAV-borne Imagery for Relative Water Content Estimation in Field-grown Sesame

Sesame (Sesamum indicum) is an irrigated oilseed crop, and studies on its water content estimation are sparred. Unmanned aerial vehicle (UAV)-borne imageries using spectral reflectance as well as thermal emittance for crops are an ample source of high throughput information about their physiological and chemical traits. Though several studies have dealt with thermal emittance to assess the crop water content, evaluating its relation to the plant’s solar reflectance is limitedly... M. Sahoo, R. Tarshish, V. Alchanatis , I. Herrmann