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Inamasu, R
Dempsey, D
Dota, M.A
Irmak, S
Devakumar, N
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Authors
Shaver, T
Schmer, M
Irmak, S
Van Donk, S
Wienhold, B
Jin, V
Bereuter, A
Francis, D
Rudnick, D
Ward, N
Hendrickson, L
Ferguson, R.B
Adamchuk, V.I
Krol, C
Dempsey, D
Dutra, R
Sousa, R
Porto, A
Inamasu, R
Lopes, W
Tronco, M
Santos, C
Weschter, E.O
Dota, M.A
Cugnasca, C.E
Giriyappa, M
Sheshadri, T
Hanumanthappa, D
Shankar, M
Salimath, S.B
Rudramuni, T
Raju, N
Devakumar, N
Mallikaarjuna, G
Malagi, M.T
Jangandi, S
Tabile, R
Porto, A
Inamasu, R
Sousa, R
Kolln, O.T
Sanches, G.M
Rossi Neto, J
Castro, S.G
Mariano, E
Otto, R
Inamasu, R
Magalhães, P.S
Braunbeck, O.A
Franco, H.C
Topics
Spatial Variability in Crop, Soil and Natural Resources
Precision A to Z for Practitioners
Guidance, Robotics, Automation, and GPS Systems
Emerging Issues in Precision Agriculture (Energy, Biofuels, Climate Change, Standards)
Precision Nutrient Management
Engineering Technologies and Advances
Type
Poster
Oral
Year
2012
2014
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Filter results7 paper(s) found.

1. Landscape Influences on Soil Nitrogen Supply and Water Holding Capacity for Irrigated Corn

... T. Shaver, M. Schmer, S. Irmak, S. Van donk, B. Wienhold, V. Jin, A. Bereuter, D. Francis, D. Rudnick, N. Ward, L. Hendrickson, R. Ferguson, V.I. Adamchuk

2. AMMO Ag: Agricultural Marketing & Merchandising Optimizer

EHedger provides an integrated risk management solution for farm operations utilizing our proprietary AMMO platform combined with proven hedging strategies, first-hand market insight, effective trade execution and farming expertise. AMMO software enables real-time analysis of crop/livestock production. Farmers can set profit margins, evaluate variable profit scenarios, understand production costs and risks, and create sustainable marketing programs to maximize their... C. Krol, D. Dempsey

3. Architecture and Model of Data Integration between Management Systems and Agricultural Machines for Precision Agriculture

 The development of robotic systems has challenges as the high degree of interdisciplinarity, the difficulty of integration between the various robotic control... R. Dutra, R. Sousa, A. Porto, R. Inamasu, W. Lopes, M. Tronco

4. Radio Frequency Identification For Implementing Traceability In The Cotton Production In The Brazilian Midwest

According to the International Cotton Advisory Committee - ICAC projection for the fiber in cotton production for the crop year 2012/2013 is expected to reach an amount of 15.19 million tons , according to a forecast released in August 2012 . In the Brazilian context , according to the Ministry of Agriculture, Livestock and Supply of Brazil cotton cultivation in Brazil has grown especially in the Midwest . In particular , exports of cotton fiber increased twice in one season in 2003/2004... C. Santos, E.O. Weschter, M.A. Dota, C.E. Cugnasca

5. Precision Nutrient Management For Enhancing The Yield Of Groundnut In Peninsular India

               Groundnut is an important oil seed crop grown in an area of around 8 lakh hectares in Karnataka state of India under rainfed conditions. In these situations farmers applied inadequate fertilizer without knowing the initial nutrient status of the soil which resulted in low nutrient use efficiency that intern lead to low productivity of groundnut in these areas. Soil fertility deterioration due to... M. Giriyappa, T. Sheshadri, D. Hanumanthappa, M. Shankar, S.B. Salimath, T. Rudramuni, N. Raju, N. Devakumar, G. Mallikaarjuna, M.T. Malagi, S. Jangandi

6. Agribot: Development Of A Mobile Robotic Platform To Support Agricultural Data Collection

Precision Agriculture and agricultural practices that take into account environment protection, leads to several research challenges. Sampling scale and the precision required by these new agricultural practices are often greater than those required by traditional agriculture, raising the costs of production. This whole process requests an expressive number of researches in developing automation instruments. Amongst them, the use of remote sensing techniques based on On-the-Go sensors... R. Tabile, A. Porto, R. Inamasu, R. Sousa

7. Optical Sensors To Predict Nitrogen Demand By Sugarcane

The low effectiveness of nitrogen (N) from fertilizer is a substantial concern in worldwide which has been threatening the sustainability of sugarcane production. The increment of nitrogen use efficiency (NUE) by sugarcane genotypes associated to the best practices of fertilizer management and nutritional diagnosis methods have higher potential to reduce environment impacts of nitrogen fertilization. Due to the difficult to determine N status in soil test as well as there is not... O.T. Kolln, G.M. Sanches, J. Rossi neto, S.G. Castro, E. Mariano, R. Otto, R. Inamasu, P.S. Magalhães, O.A. Braunbeck, H.C. Franco