Search Results - Nonlinear systems.

Collective escape and supratransmission phenomena in a nonlinear oscillators chain by Mekontchou Foudjio, Michael, Thomas Ndjomatchoua, Frank, Lawrence Gninzanlong, Carlos, Tchawoua, Clément

“…It is shown that the minimum initial on-site amplitude for which there is a collective escape increases with the nonlinear coupling. When the chain is forced at one end by a periodical excitation, the system exhibits supratransmission phenomenon in both lower and upper forbidden bandgaps, and, subsequently, it appears that the driving amplitude threshold for supratransmission in the upper forbidden bandgap frequency decreases with the nonlinear coupling. …”
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Understanding biological control with entomopathogenic fungi-Insights from a stochastic pest-pathogen model by Djouda, Byliole S., Ndjomatchoua, Frank T., Moukam Kakmeni, F.M., Tchawoua, Clément, Tonnang, Henri E. Z.

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Evaluating the Breed and Production Diversity in Dual Purpose Cattle Systems in Colombia: Opportunities for Its Sustainability by Burgos Paz, William, Pérez Escobar, Yury, Castillo Losada, Eduardo, Rivera Sanchez, Leidy, Falla Tapias, Sergio

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Biochar increases plant-available water in a sandy loam soil under an aerobic rice crop system by Carvalho, M.T.D.M., Maia, A.D.H.N., Madari, Beáta E, Bastiaans, L., Oort, P.A.J. van, Heinemann, Alexandre B., Soler da Silva, M.A., Petter, F.A., Marimon Junior, B.H., Meinke, Holger

“…Soil water retention curves were modelled using a nonlinear mixed model which appropriately accounts for uncertainties inherent of spatial variability and repeated measurements taken within a specific soil sample. …”
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Use of inverse modeling to evaluate CENTURY-predictions for soil carbon sequestration in US rain-fed corn production systems by Kwon, Ho Young, Ugarte, C. M., Ogle, Stephen M., Williams, Stephen A., Wander, Michelle M.

“…Inverse modeling was accomplished using a surrogate model for CENTURY’s SOC dynamics sub-model wherein mass balance and decomposition kinetics equations from CENTURY are coded and solved by using a nonlinear regression routine of a standard statistical software package. …”
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Amplitude response, Melnikov’s criteria, and chaos occurrence in a Duffing’s system subjected to an external periodic excitation with a variable shape by Ndjomatchoua, Frank T., Djomo, Thierry L.M., Kemwoue, Florent F., Gninzanlong, Carlos Lawrence, Kepnang, Maxime P., Siewe, Martin S., Tchawoua, Clément, Pedro, Sansao A., Kofane, Timoleon C.

“…The present study considers the nonlinear dynamics of a Duffing oscillator under a symmetric potential subjected to a pulse-type excitation with a deformable shape. …”
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Climate change and maize yield in southern Africa: what can farm management do? by Rurinda, J., Wijk, Mark T. van, Mapfumo, Paul, Descheemaeker, Katrien K., Supit, I., Giller, Kenneth E.

“…The yield response to delay in planting was nonlinear. Fertilizer increased yield significantly under both baseline and future climates. …”
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Assessment of Spatial Variability of Soil Properties Using Different Methods to Identify Management Zones for Rotational Cropping Systems: A Case Study from Colombia by Ouazaa, Sofiane, Jaramillo Barrios, Camilo Ignacio, Chaali, Nesrine, Quevedo Amaya, Yeison Mauricio, Montenegro Ramos, Omar, Calderon Carvajal, John Edinson

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Machine Learning Approach for Prediction of Area Under Cultivation and Production for Vegetatively Propagated Crops by Ahishakiye, E., Ogero, K., Namada, S., Rajendran, S.

“…Traditional forecasting methods have fallen short in capturing the complexity of VPC production, as there are nonlinear relationships and dynamic environmental factors at play. …”
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Determinants of agricultural protection from an international perspective: The role of political institutions by Henning, Christian

“…As district size grows and the electoral system converges to a purely proportional system, both of these biases are attenuated. …”
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Micro insights on the pathways to agricultural transformation: Comparative evidence from Southeast Asia and Sub-Saharan Africa by Amare, Mulubrhan, Parvathi, Priyanka, Trung Thanh Nguyen

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Quality Control of CyGNSS Reflectivity for Robust Spatiotemporal Detection of Tropical Wetlands by Arai, Hironori, Zribi, Mehrez, Oyoshi, Kei, Dassas, Karin, Huc, Mireille, Sobue, Shinichi, Thuy Le Toan

“…The methodology was applied over the Mekong Delta, one of the most important rice-production systems comprising aquaculture areas and natural wetlands (e.g., mangrove forests, peatlands). …”
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Change point-driven interrupted time series and machine learning models for forecasting Indian food grain production by Chitikela, Gayathri, Rathod, Santosha, Vijayakumar, S.

“…While interrupted ARIMA models capture linear patterns, they often fail to address nonlinearities. This study addresses this gap by developing interrupted ANN models to capture nonlinearities in Indian food grain production data. …”
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Cost-effectiveness of community-based gendered advisory services to farmers: Analysis in Mozambique and Tanzania by Mogues, Tewodaj, Mueller, Valerie, Kondylis, Florence

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A temperature-dependent phenology model for Liriomyza huidobrensis (diptera: Agromyzidae) by Mujica, N., Sporleder, M., Carhuapoma, Pablo, Kroschel, Jürgen

“…Mean development time of all immature stages decreased with increasing temperature. Nonlinear models predicted optimal temperature for immature survival between 20–25 °C (32–38% mortality of all immature stages). …”
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Theoretical analysis of spatial nonhomogeneous patterns of entomopathogenic fungi growth on insect pest by Djouda, B.S., Moukam Kakmeni, F.M., Guemkam Ghomsi, P., Ndjomatchoua, F.T., Tchawoua, C., Tonnang, Henri E.Z.

“…Initially, the stability of the steady state is investigated without taking into account diffusion and by considering the behavior of the system around its equilibrium states. In addition, considering small perturbation of the stable singular point due to nonlinear diffusion, the conditions for Turing instability occurrence are deduced. …”
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Innovations for plant production in the risky environment of semiarid Niger: a multilevel modeling assessment by Abele, S.

“…These data were fed in a Markowitz-Portfolio-model type by means of nonlinear programming to test the innovations, first at stable prices, then at declining prices that were obtained from an interregional trade model. …”
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Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why by Castillo-Gironés, Salvador, Munera, Sandra, Martinez-Sober, Marcelino, Blasco, José, Cubero, Sergio, Gómez-Sanchis, Juan

“…Artificial Neural Networks (ANNs) based models have emerged as a powerful tool for solving complex nonlinear problems in agriculture. These models simulate the human nervous system’s structure, allowing them to learn hierarchical features from the data and solve nonlinear problems efficiently. …”
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Conservation agriculture can enhance maize productivity in high-rainfall regions: Nine-year evidence from Northern Zambia by Mhlanga, Blessing, Kalala, Kelvin, Thierfelder, Christian

“…Yearly precipitation showed significant interannual variability, influencing maize grain yield in a complex cubic response pattern, highlighting nonlinear interactions between cropping systems and rainfall. …”
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Predicting maize phenology: intercomparison of functions for developmental response to temperature by Kumudini, S., Andrade, Fernando Hector, Boote, K.J., Brown, G.A., Dzotsi, K.A., Edmeades, G.O., Gocken, T., Goodwin, M., Halter, A.L., Hammer, G.L., Hatfield, J.L., Jones, J.W., Kemanian, A.R., Kim, Sung Hyun, Kiniry, J., Lizaso, J.I., Nendel, C., Nielsen, R.L., Parent, B., Stӧckle, C.O., Tardieu, F., Thomison, P.R., Timlin, D.J., Vyn, T.J., Wallach, D., Yang, H.S., Tollenaar, Matthijs

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