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Owens, P
Porto, A
Palla, S
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Authors
Dutra, R
Sousa, R
Porto, A
Inamasu, R
Lopes, W
Tronco, M
Tabile, R
Porto, A
Inamasu, R
Sousa, R
Ashworth, A
Kharel, T
Owens, P
Nazrul, F
Kim, J
Dey, S
Palla, S
Sihi, D
Whitaker, B
Jha, G
Topics
Guidance, Robotics, Automation, and GPS Systems
Engineering Technologies and Advances
Small Holders and Precision Agriculture
Weather and Models for Precision Agriculture
Type
Poster
Oral
Year
2012
2014
2022
2024
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1. 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

2. 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

3. Evaluating How Operator Experience Level Affects Efficiency Gains for Precision Agricultural Tools

Tractor guidance (TG) improve environmental gains relative to non-precision technologies; however, studies evaluating how tractor operator experience for non-guidance comparisons impact gains are nonexistent. This study explores spatial relationships of overlaps and gaps with operator experience level (0-1; 2-3; 6+ years) during fertilizer and herbicide applications based on terrain attributes.  Tractor paths recorded by global navigation satellite systems were used to create overlap polygons.... A. Ashworth, T. Kharel, P. Owens

4. Machine Learning Algorithms in Detecting Long-term Effect of Climatic Factors for Alfalfa Production in Kansas

The water levels of the Ogallala Aquifer are depleting so much that agricultural land returns in Kansas are expected to drop by $34.1 million by 2050. It is imperative to understand how frequent droughts and the contrasting rates of groundwater withdrawal and recharge are affected by climate shifts in Kansas. Alfalfa, the ‘Queen of Forages’, is a water demanding crop which supplies high nutritional feed for beef industry that offered Kansas producers a $500 million production value... F. Nazrul, J. Kim, S. Dey, S. Palla, D. Sihi, B. Whitaker, G. Jha