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Mathew, J.J
Marasca, I
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Authors
Marasca, I
Casiero, D.P
Guerra, S.P
Lanças, K.P
Spadim, E.R
Marasca, I
Masiero, F.C
Fiorese, D.A
Guerra, S.S
Lancas, K.P
Mathew, J.J
Flores, P.J
Stenger, J
Miranda, C
Zhang, Z
Das, A.K
Topics
Engineering Technologies and Advances
Spatial Variability in Crop, Soil and Natural Resources
Precision Agriculture and Global Food Security
Type
Oral
Poster
Year
2014
2022
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Filter results3 paper(s) found.

1. Development Of An Hydraulic Penetrometer Data Acquisition Software

Currently , in addition to increased production , the costs reduction are focused in order to increase efficiency in production, so the modern agriculture intent to find planting methods which extract the maximum possible data about the used area for making possible to do this preparation in the most appropriate manner, considering the shortcomings of evaluating these data. This method is contained in the concepts of an agricultural practice that has been steadily growing,  the... I. Marasca, D.P. Casiero, S.P. Guerra, K.P. Lanças, E.R. Spadim

2. Spatial Dependence Of Soil Compaction In Annual Cycle Of Different Culture Of Cane Sugar For Sandy Soil

The Currently practiced mechanization for the production of sugar cane involves a heavy traffic of machinery and equipment. Studying the culture in its development environment generates a huge amount of information to fit the top managements and varieties for specific environments. The sugar cane cultivation has a heavy traffic of machinery and equipment, having more than 20 operations per cycle, and being more intense during harvest, providing increasing... I. Marasca, F.C. Masiero, D.A. Fiorese, S.S. Guerra, K.P. Lancas

3. Comparative Analysis of Light-weight Deep Learning Architectures for Soybean Yield Estimation Based on Pod Count from Proximal Sensing Data for Mobile and Embedded Vision Applications

Crop yield prediction is an important aspect of farming and food-production. Therefore, estimating yield is important for crop breeders, seed-companies, and farmers to make informed real-time financial decisions. In-field soybean (Glycine max L.(Merr.)) yield estimation can be of great value to plant breeders as they screen thousands of plots to identify better yielding genotypes that ultimately will strengthen national food security. Existing soybean yield estimation tools,... J.J. Mathew, P.J. Flores, J. Stenger, C. Miranda, Z. Zhang, A.K. Das