Corn Yield Prediction With Ensemble CNN-DNN. [PDF]
We investigate the predictive performance of two novel CNN-DNN machine learning ensemble models in predicting county-level corn yields across the US Corn Belt (12 states). The developed data set is a combination of management, environment, and historical corn yields from 1980 to 2019.
Shahhosseini M +3 more
europepmc +7 more sources
Machine Learning-Based Modeling of Spatio-Temporally Varying Responses of Rainfed Corn Yield to Climate, Soil, and Management in the U.S. Corn Belt [PDF]
Better understanding the variabilities in crop yield and production is critical to assessing the vulnerability and resilience of food production systems. Both environmental (climatic and edaphic) conditions and management factors affect the variabilities
Tianfang Xu +6 more
doaj +2 more sources
Forecasting Corn Yield With Machine Learning Ensembles. [PDF]
The emerge of new technologies to synthesize and analyze big data with high-performance computing, has increased our capacity to more accurately predict crop yields. Recent research has shown that Machine learning (ML) can provide reasonable predictions, faster, and with higher flexibility compared to simulation crop modeling.
Shahhosseini M, Hu G, Archontoulis SV.
europepmc +7 more sources
Stem Density, Productivity, and Weed Community Dynamics in Corn-Alfalfa Intercropping
Intercropping legumes with cereals for forage production is a practical multi-cropping technique to increase yield and improve land use efficiency. In a 3-year cropping sequence, alfalfa (Medicago sativa L.) intercropped with corn (Zea mays L.) may ...
Swetabh Patel +4 more
doaj +1 more source
CAN SOWING SPEED AFFECT CORN YIELD?
In sowing operation, it is essential to control the factors that can affect the quality of seed and fertilizer deposition. These factors range from the correct choice of dosing mechanisms to machine regulation and operating speed control. The present research aimed to analyze the influence of sowing speed on the productive performance of the corn crop.
Aldir Carpes Marques Filho +1 more
openaire +5 more sources
Interference of Volunteer Corn from Different Origins and Emergence Time on Soybean Yield and Stress Metabolism [PDF]
: Volunteer corn occurrence with soybean is favored by the glyphosate-resistant (GR) corn cultivation preceding soybean and no-tillage systems. Volunteer corn interference causes significant losses in soybean grain yield. The levels of crop losses change
M.A. RIZZARDI +4 more
doaj +1 more source
Alfalfa Established Successfully in Intercropping with Corn in the Midwest US
Integrating alfalfa (Medicago sativa L.) with corn (Zea mays L.) for grain will increase biodiversity, reduce the negative environmental impact of corn monoculture and increase farm profitability.
Marisol T. Berti +7 more
doaj +1 more source
Baby corn, green corn, and dry corn yield of corn cultivars [PDF]
In corn, when the first female inflorescence is removed, the plant often produces new female inflorescences. This allows the first ear to be harvested as baby corn (BC) and the second as green corn (GC) or dry corn (DC), that is, mature corn. The flexibility provided by a variety of harvested products allows the grower to compete with better conditions
Castro, Renato S +2 more
openaire +3 more sources
Yield Losses and Economic Threshold of GR® F2 Volunteer Corn in Bean [PDF]
: Volunteer corn has high competitive capacity with bean, and the degree of interference varies as a function of corn density and origin (individual plant or clump).
C. PIASECKI, M.A. RIZZARDI
doaj +1 more source
Corn response to selected soil health indicators in a Texas drought
The phrase “soil health” describes the condition of a soil in terms of its physical, chemical, and biological properties. The relationship between soil health and crop yield is rather complex, and quantifying their spatial characteristics at field scale ...
Kabindra Adhikari +4 more
doaj +1 more source

