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Pate, G.L
McLellan, E
Marie-France, D
Mitsuoka, M
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Authors
Majdi, M
Benjamin, D
Marie-France, D
Fulton, J.P
Balkcom, K.S
Ortiz, B.V
McDonald, T.P
Pate, G.L
Virk, S.S
Poncet, A
Sela, S
van-Es, H
McLellan, E
Melkonian, J
Marjerison , R
Constas, K
Hirai, Y
Yamakawa, T
Inoue, E
Okayasu, T
Mitsuoka, M
Topics
Food Security and Precision Agriculture
Engineering Technologies and Advances
Precision Nutrient Management
Big Data Mining & Statistical Issues in Precision Agriculture
Type
Poster
Oral
Year
2012
2014
2016
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Filter results4 paper(s) found.

1. Bayesian Methods for Predicting LAI and Soil Moisture

Crop models describe the growth and development of a crop interacting with soil, climate, and management... M. Majdi, D. Benjamin, D. Marie-france

2. Row-Crop Planter Requirements To Support Variable-Rate Seeding Of Maize

Current planting technology possesses the ability to increase crop productivity and improve field efficiency by precisely metering and placing crop seeds. Growing high yielding crops not only requires using the right seed variety and rate but also achieving optimal performance with available planter technology. Planter performance depends on using the correct planter and technology (display and rate controller system) setup which consists of determining optimal settings for different planting... J.P. Fulton, K.S. Balkcom, B.V. Ortiz, T.P. Mcdonald, G.L. Pate, S.S. Virk, A. Poncet

3. Using the Adapt-N Model to Inform Policies Promoting the Sustainability of US Maize Production

Maize (Zea mays L.) production accounts for the largest share of crop land area in the U.S. It is the largest consumer of nitrogen (N) fertilizers but has low N Recovery Efficiency (NRE, the proportion of applied N taken up by the crop). This has resulted in well-documented environmental problems and social costs associated with high reactive N losses associated with maize production. There is a potential to reduce these costs through precision management, i.e., better application timing, use... S. Sela, H. Van-es, E. Mclellan, J. Melkonian, R. Marjerison , K. Constas

4. Analysis of High Yield Condition Using a Rice Yield Predictive Model

Rice production in Japan is facing problems of yield and quality instability owing to recent climate changes and a decline in rice prices, and possible competition with foreign inexpensive rice. Thus, it is becoming more important to stably achieve high yield and quality, while reducing production costs. Various data, including crop growth, farmer’s management styles, yield and quality, has recently become accessible in actual fields using advanced information and communication technologies.... Y. Hirai, T. Yamakawa, E. Inoue, T. Okayasu, M. Mitsuoka