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Archontoulis, S
Abdol Lajis, G
Antunes, J.F
Archer, J.K
Alizadeh, H.M
Avanzi, J.C
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Authors
Bortolon, L
Borghi, E
Luchiari Junior, A
Bortolon, E.S
Freitas, A.A
Inamasu, R.Y
Avanzi, J.C
Borghi, E
Luchiari Junior, A
Bortolon, L
Bortolon, E.S
Inamasu, R.Y
Bernardi, A.C
Avanzi, J.C
Archer, J.K
Delgadillo, C.A
Shen, F
Ashrafi, Z.Y
Alizadeh, H.M
Sadeghi, S
Bejo, S
Abdol Lajis, G
Abd Aziz, S
Abu Seman, I
Ahamed, T
Puntel, L
Pagani, A
Archontoulis, S
Pereira, F.R
Dos Reis, A.A
Freitas, R.G
Oliveira, S.R
Amaral, L.R
Figueiredo, G.K
Antunes, J.F
Lamparelli, R.A
Moro, E
Pereira, N.D
Magalhães, P.S
Thompson, L
Puntel, L
Archontoulis, S
Topics
Profitability, Sustainability and Adoption
Profitability, Sustainability and Adoption
Standards & Data Stewardship
Precision Crop Protection
Decision Support Systems
Big Data, Data Mining and Deep Learning
Decision Support Systems
Type
Poster
Oral
Year
2012
2014
2016
2008
2018
2022
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Authors

Filter results8 paper(s) found.

1. Adoption and Tendencies of Precision Agriculture Technologies in the Tocantins State, Brazil

Although precision agriculture is widely used throughout Brazilian crop production, it has not been used to increase the efficiency use of agricultural inputs. Besides, technologies available have not been... L. Bortolon, E. Borghi, A. Luchiari junior, E.S. Bortolon, A.A. Freitas, R.Y. Inamasu, J.C. Avanzi

2. Adoption Level Of Precision Agriculture For Brazilian Farmers - 2011/12 Crop Year

Although Precision Agriculture (PA) concepts and technologies are widespread in Brazil, its application still little used in some important crop production regions. The purpose of this study was to survey the current adoption level of PA by printed and online questionnaire. We started making a specific questionnaire to farmers and PA service companies using some technology related to PA. The questionnaires were developed based on the methodology of Whipker and Akridge (2009),... E. Borghi, A. Luchiari junior, L. Bortolon, E.S. Bortolon, R.Y. Inamasu, A.C. Bernardi, J.C. Avanzi

3. Key Data Ownership, Privacy and Protection Issues and Strategies for the International Precision Agriculture Industry

Precision agriculture companies seek to leverage technology to process greater volumes of data, greater varieties of data, and at a velocity unfathomable to most. The promises of boundless benefits are coupled with risks associated with data ownership, stewardship and privacy. This paper presents some risks related to the management of farm data, in general, as well as those unique to operating in the international arena.  Examples of U.S. and international laws related to data protection... J.K. Archer, C.A. Delgadillo, F. Shen

4. Effect of Soil Solarization, a Nonchemical Method, on the Control of Egyptian Boomrape (Orobanche Aegyptiaca) and Yield Improvement in Greenhouse Grown Cucumber

Cucumber cultivation in the Mediterranean region is susceptible to infestation by the parasitic weed egyptian broomrape (Orobanche aegyptiaca), and severe yield losses can result. The effectiveness of solarization, a soil disinfection technique that uses passive solar heating, to control the incidence of broomrape under greenhouse conditions was studied over two growing seasons. Solarization was accomplished by the application of clear polyethylene sheets to moist soil for 50 to 65 d... Z.Y. Ashrafi, H.M. Alizadeh, S. Sadeghi

5. Detecting Basal Stem Rot (BSR) Disease at Oil Palm Tree Using Thermal Imaging Technique

Basal stem rot (BSR), caused by Ganoderma boninense is known as the most damaging disease in oil palm plantations in Southeast Asia. Ganoderma could reduce the productivity of oil palm plantations and potentially reduce the market value of palm oil in Malaysia. Early disease management of Ganoderma could prevent production losses and reduce the cost of plantation management. This study focuses on identifying the thermal properties of healthy and BSR-infected tree using a thermal imaging... S. Bejo, G. Abdol lajis, S. Abd aziz, I. Abu seman, T. Ahamed

6. Prediction of Corn Economic Optimum Nitrogen Rate in Argentina

Static (i.e. texture and soil depth) and dynamic (i.e. soil water, temperature) factors play a role in determining field or subfield economically optimal N rates (EONR). We used 50 nitrogen (N) trials from Argentina at contrasting landscape positions and soil types, various soil-crop measurements from 2012 to 2017, and statistical techniques to address the following objectives: a) characterize corn yield and EONR variability across a multi-landscape-year study in central west Buenos Aires,... L. Puntel, A. Pagani, S. Archontoulis

7. A Framework for Imputation of Missing Parts in UAV Orthomosaics Using Planetscope and Sentinel-2 Data

In recent years, the emergence of Unmanned Aerial Vehicles (UAV), also known as drones, with high spatial resolution, has broadened the application of remote sensing in agriculture. However, UAV images commonly have specific problems with missing areas due to drone flight restrictions. Data mining techniques for imputing missing data is an activity often demanded in several fields of science. In this context, this research used the same approach to predict missing parts on orthomosaics obtained... F.R. Pereira, A.A. Dos reis, R.G. Freitas, S.R. Oliveira, L.R. Amaral, G.K. Figueiredo, J.F. Antunes, R.A. Lamparelli, E. Moro, N.D. Pereira, P.S. Magalhães

8. Evaluating APSIM Model for Site-Specific N Management in Nebraska

Many approaches have been developed to estimate the optimal N application rates and increase nitrogen use efficiency (NUE). In particular, in-season and variable-rate fertilizer applications have the potential to apply N during the time of rapid plant N uptake and at the rate needed, thereby reducing the potential for nitrogen fertilizer losses. However, there remains great challenges in determining the optimal N rate to apply in site-specific locations within a field in a given year. Additionally,... L. Thompson, L. Puntel, S. Archontoulis