Proceedings
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| Filter results7 paper(s) found. |
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1. Architecture and Model of Data Integration between Management Systems and Agricultural Machines for Precision AgricultureThe 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. Design, Error Characterization And Testing Of A System To Measure Locations Of Fruits In Tree CanopiesMapping the variability of fruit size and quality within tree canopies in commercial orchards is an important tool for implementing precision horticulture. To do so at a reasonably fast rate requires localization technologies that offer sufficient speed and accuracy, at a range long enough to cover entire trees – or several trees at a time. Existing approaches for measuring fruit locations include: manual (centimeter accuracy and measurement time in the order of minutes per... S.G. Vougioukas, F.J. Jimenez, F. Khosro anjom, R. Elkins, C. Ingels, R. Arikapudi |
3. Agribot: Development Of A Mobile Robotic Platform To Support Agricultural Data CollectionPrecision 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 |
4. Optical Sensors To Predict Nitrogen Demand By SugarcaneThe 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 |
5. Application of Geographic Information Systems in Socioeconomic Analysis: A Case of Integrated Soil Fertility Management in the Savannas of NigeriaPopulation pressure increases, shortened fallow cycles, cropping intensification, inaccessibility and low output prices as well as concerns about agricultural sustainability and self-sufficiency have combined to contribute to increased demand for integrated soil fertility management of the agricultural resource base. Following this situation, organic fertilizer in the form of animal manure becomes one of the principal sources of nutrients for soil fertility maintenance and crop production. Hence,... O. Olayide, A. Alene, A. Ikpi, G. Nziguheba, T. Alabi |
6. Invasive and Non-Invasive Technology for Measuring Water Content of Crop Leaves in Greenhouse HorticultureMoisture status in the crop is closely related to various physiological activities of the crop. If we can measure the moisture status in the crop in real time, we can understand the photosynthetic activity, which is an important physiological activity for growing crops, and the movement of the product from photosynthesis. Therefore, we verified it is possible to measure water content of crop leaves nondestructively using invasive method and non-invasive method. As a non-invasive measurement method,... H. Umeda, K. Muramatsu, Y. Kawagoe, T. Sugihara, S. Shibusawa, Y. Iwasaki |
7. Can Optimization Associated with On-Farm Experimentation Using Site-Specific Technologies Improve Producer Management Decisions?Crop production input decisions have become increasingly difficult due to uncertainty in global markets, input costs, commodity prices, and price premiums. We hypothesize that if producers had better knowledge of market prices, spatial variability in crop response, and weather conditions that drive crop response to inputs, they could more cost-effectively make profit-maximizing input decisions. Understanding the drivers of variability in crop response and designing accompanying management strategies... B.D. Maxwell, A. Bekkerman, N. Silverman, R. Payn, J. Sheppard, C. Izurieta, P. Davis, P.B. Hegedus |