Proceedings
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| Filter results2 paper(s) found. |
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1. Integrating Proximal Hyperspectral and Machine Learning to Predict Nitrogen in Short- and Full-stature Corn Hybrids at Early Growth Stage in Indiana, USANitrogen (N) fertilizer use is a complex challenge, as underapplication can harm yield and overapplication can harm profitability and the environment. N accounts for roughly 58% of total US corn fertilizer use (an annual expense of ~$8 billion), with overapplication estimated at 15% ($1.2 billion for possible savings). Within this setting, early-season yield prediction is a high-value capability for breeding and farmers. If plot-level plant N can be forecasted with high accuracy before the corn... B. Paulus Scheffer, D. . Quinn, P.H. Magalhaes Cisdeli, J. Jin, Z. Qin, I. Ciampitti |
2. Detection of Chlorophyll A and B in Maize Using Visible Reflectance under Conventional and Variable Rate Nitrogen ManagementPlant-environmental interactions regulate physiological aspects that determine crop yield. However, measuring physiological parameters in-field remains a challenge, as sampling often requires time-consuming laboratory analysis. Therefore, this study analyzed the influence of reflectance using a handheld sensor in detect chlorophyll A and B in different nitrogen application strategies before and after sidedressing. The experiment was conducted at a commercial farm in Campo do Meio, Minas Gerais,... T. Costa Barboza, O.P. Da Costa, R.F. Queiroz, L. Lacerda, A. Felipe Dos Santos, S.G. Silva |