By‐Plant Prediction of Corn Forage Biomass and Nitrogen Uptake at Various Growth Stages Using Remote Sensing and Plant Height

Freeman, K. W.; Girma, Kefyalew; Arnall, Daryl B.; Mullen, R. W.; Martin, K. L.; Teal, R. K.; Raun, W. R.

doi:10.2134/agronj2006.0135

Cited by 179 publications

(137 citation statements)

References 16 publications

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“…Canopy temperature has been studied for decades as an indicator of stress [1] [2], to evaluate drought tolerance [3], and for scheduling irrigations [4]. Plant height is of interest due to its role in determining a variety of plant traits [5], and as an indicator of yield and biomass [6] [7] [8] [9]. Modern Instrumentation Modern mobile farm vehicles, such as tractors and sprayers, are being designed with more electronic features and have potential for interfacing sensors, enabling the collection of large amounts of data while working [10].…”

Section: Introductionmentioning

confidence: 99%

Mobile Open-Source Plant-Canopy Monitoring System

Fisher¹,

Huang²

2017

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Many agricultural applications, including improved crop production, precision agriculture, and phenotyping, rely on detailed field and crop information to detect and react to spatial variabilities. Mobile farm vehicles, such as tractors and sprayers, have the potential to operate as mobile sensing platforms, enabling the collection of large amounts of data while working. Open-source hardware and software components were integrated to develop a mobile plant-canopy sensing and monitoring system. The microcontroller-based system, which incorporated a Bluetooth radio, GPS receiver, infrared temperature and ultrasonic distance sensors, micro SD card storage, and voltage regulation components, was developed at a cost of US$292. The system was installed on an agricultural vehicle and tested in a soybean field. The monitoring system demonstrates an application of open-source hardware to agricultural research and provides a framework for similar or additional sensing applications.

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Section: Introductionmentioning

confidence: 99%

Mobile Open-Source Plant-Canopy Monitoring System

Fisher¹,

Huang²

2017

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“…Thenkabail et al (2000) found that the accuracy in estimating plant height could be improved by using reflectance in narrow spectral wavebands in the red and NIR regions (R 2 = 0.64). Freeman et al (2007) developed a 3-dimensional index based on the multiplication of NDVI and plant height to estimate corn biomass at early and later stages (R 2 = 0.66 and 0.45), yield (R 2 = 0.62 and 0.64), and N uptake (R 2 = 0.77 and 0.46). Liu and Wiatrak (2011) proposed the use of plant height, NDVI and LAI in estimating corn grain yield.…”

Section: Introductionmentioning

confidence: 99%

Inter-relationships of cotton plant height, canopy width, ground cover and plant nitrogen status indicators

Muharam¹,

Bronson²,

Maas³

et al. 2014

Field Crops Research

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a b s t r a c tPetiole-NO 3 , leaf N and chlorophyll (SPAD) meter readings are good in-season indicators of the N status of the uppermost part of cotton (Gossypium hirsutum L.) plants. , particularly is widely used in the USA as an in-season plant N test that guides N fertilizer recommendations in cotton. However, these N status indicators do not take account of plant biomass, canopy width or percent cover. The objectives of this study were to assess the effect of N fertilizer rates on the commonly used indicators of plant N status; leaf N, petiole sap NO 3 and chlorophyll meter (SPAD) readings and the plant growth measurements; plant height, canopy width, and percent ground cover, and determine to inter-correlations among the them. Irrigated field studies were conducted at Lubbock, TX USA in 2010 and 2011, New Deal, TX in 2010, and at Halfway, TX in 2011. Zero-N and a full N fertilizer rate of 134, 101, and 112 kg N ha −1 were used at Lubbock, New Deal, and Halfway, respectively. The 2010 cotton growing season in West Texas was much wetter than average, and the 2011 season was much drier than normal. As a result, plant height, canopy width, and ground cover were greater in the 2010 sites than in 2011. The effects of N fertilizer were greatest for the two cultivars in subsurface drip irrigation (SDI) at New Deal in 2010 for all three N status indicators, and for the three plant growth measures compared to the other site-years. Correlation analysis indicated that among the three plant N indicators, leaf N was the most sensitive to plant parameters. These effects were positive in 2010 and negative in the 2011 dry year. Petiole NO 3 was the plant N indicator that was the most insensitive to plant growth, but the marked seasonal decline pattern reduces its usefulness for late-season N management.Published by Elsevier B.V.

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“…The irrigation provided during the experiment was similar on both years in order to provide similar management conditions and without influencing the outcome. Thus; both external factors (temperature and rainfall) influenced directly the development and production of the plants; because there are a positive relationships among plant height, forage yield, dry matter and fiber content (32)(33)(34) . For animal production, producers need to consider the sowing season in order to obtain an adequate forage yield and nutritional value aimed to increase the animal productivity (17,35,36) .…”

Section: Discussionmentioning

confidence: 99%

Yield of forage, grain and biomass in eight hybrids of maize with different sowing dates and environmental conditions

López¹,

Rosales-Nieto²,

López³

et al. 2017

Rev. Mex. Cienc. Pecu.

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The aim was to evaluate yield of forage, grain and biomass and fibre content of eight hybrids of maize (Rio-Grande, Arrayan, Genex 778, Narro 2010, Advance 2203, DAS 2358, P4082W and HT9150W) during two sowing seasons (spring/summer) for two consecutive years at La Laguna in Torreon, Mexico. Once the grain progression of the kernel milk line was ⅓, green forage yield (GFY), dry matter (DM), neutral detergent fiber (NDF) and acid detergent fiber (ADF) were determined. When the corncobs were fully mature, grain yield (GY) and biomass production (TBP) were determined. Weather conditions were recorded during the experiment. The results indicated that maximum temperature was higher and rainfall lower in the summer sowing and second year. Spring sowing had significantly higher yields of GFY, DM, GY and TBP compared to summer sowing. The first year of study showed significantly higher yields regarding GFY, GY and TBP, but FDN, FDA, DM content compared to the second year. The best hybrid for GFY and DM was Rio-Grande; for FDN and FDA was Advance 2203; for GY was HT9150W and finally for TBP was Arrayan. Regardless of the hybrid used and the sowing season, production of maize depended on external factors such as maximum temperature and rainfall; therefore, producers need to consider sowing in spring to avoid the negative effect of high temperatures on plant development.

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By‐Plant Prediction of Corn Forage Biomass and Nitrogen Uptake at Various Growth Stages Using Remote Sensing and Plant Height

Cited by 179 publications

References 16 publications

Mobile Open-Source Plant-Canopy Monitoring System

Mobile Open-Source Plant-Canopy Monitoring System

Inter-relationships of cotton plant height, canopy width, ground cover and plant nitrogen status indicators

Yield of forage, grain and biomass in eight hybrids of maize with different sowing dates and environmental conditions

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