corn crop Articles
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Agronomic Modeling and AI Improving Results for Farmers
How does the GroGuru solution use AI to improve results seen by farmers? In a few ways! In this interview clip with Patrick Henry, CEO and our Chief Agronomist, David Sloane, they discuss the various tech specifics of how the GroGuru underground system works in regards to AI. Watch the clip here: Patrick: GroGuru doesn’t just do soil moisture, temperature sensing, and soil salinity ...
By GroGuru
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Bates Next Generation Farms - Case Study
This seventh-generation family business uses farm management software to learn their annual cost of production on an accrual basis. The accessible, easy-to-use platform creates time-saving FSA reporting, crop traceability and historical data spanning generations. Read on to learn why the family attributes knowing their cost of production to helping them stay on farm to continue their family ...
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Ecohydrological modeling of irrigation scheduling of maize using time series analysis in the temperate region of Kashmir valley, India
Water, one of the most crucial inputs of irrigation, should be utilized judiciously to identify appropriate strategies for planning and management of irrigated farmland. The present study was conducted for the crop maize (Zea mays), grown mainly in the rabi-season (July–October), to evaluate the irrigation water requirements in the temperate region of Kashmir Valley, India during the ...
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Normalized difference vegetation index and soil color-based management zones in irrigated maize
Spectral vegetation indices such as the normalized difference vegetation index (NDVI) have been shown to be useful for indirectly obtaining crop information such as photosynthetic efficiency, productivity potential, and potential yield. The objectives of this study were (i) to examine the relationships among NDVI determined early in the growing season, soil color-based management zones (SCMZ), ...
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Sprinkler irrigation changes maize canopy microclimate and crop water status, transpiration, and temperature
During a sprinkler irrigation event some water is lost due to wind drift and evaporation (WDEL). After the irrigation event, plant-intercepted water is lost due to evaporation. The water lost causes microclimatic changes which could result in positive or negative plant physiological changes. We studied the microclimatic and physiological changes on two fields grown with maize (Zea mays L.) ...
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Improved Agricultural Irrigation Scheduling Using a Soil Water Content Sensor - Case Study
Abstract The key to scheduling irrigation timing and amounts is determining moisture depletion in the soil. Two common methods include tracking crop evapotranspiration (ETc) and tracking the water content with a sensor buried in the soil. In Colorado, a popular online tool that estimates the ETc for a variety of well-irrigated crops is the Colorado Agricultural Meteorological Network (CoAgMet). ...
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Developing Nitrogen fertilizer recommendations for corn using an active sensor
Producers often overapply N fertilizer to corn (Zea mays L.) because of the uncertainty in predicting the economic optimum nitrogen rate (EONR). Remote sensing represents a potential opportunity to reduce this uncertainty with an in-season assessment of crop N status. This study examines the relationship between EONR and reflectance from a ground-based sensor, and considers its potential for ...
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Reduced soil tilling helps both soils and yields
Agriculture degrades over 24 million acres of fertile soil every year, raising concerns about meeting the rising global demand for food. But a simple farming practice born from the 1930's Dust Bowl could provide a solution, according to new Stanford research. The study, published Dec. 6 in Environmental Research Letters, shows that Midwest farmers who reduced how much they overturned the soil -- ...
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