Energy savings by adopting precision agriculture in rural USA

Bora, Ganesh C.; Nowatzki, John; Roberts, David C.

doi:10.1186/2192-0567-2-22

Cited by 40 publications

(23 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…An example is the work of Shockley et al (2011) [100] that modelled a commercial Kentucky corn and soybean farm under no-till conditions where machine guidance during planting and fertiliser application led to cost savings of approximately 2.4%, 2.2% and 10.4% for seed, fertiliser and tractor fuel, respectively, which is translated to GHG emission mitigation. Guidance systems such as lightbar and auto-steering can reduce fuel consumption by 6.32% [101].…”

Section: Ghg Emissions Reduction Potential Through Mgmentioning

confidence: 99%

See 1 more Smart Citation

Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics

Beck²,

et al. 2017

View full text Add to dashboard Cite

Agriculture is one of the economic sectors that affect climate change contributing to greenhouse gas emissions directly and indirectly. There is a trend of agricultural greenhouse gas emissions reduction, but any practice in this direction should not affect negatively farm productivity and economics because this would limit its implementation, due to the high global food and feed demand and the competitive environment in this sector. Precision agriculture practices using high-tech equipment has the ability to reduce agricultural inputs by site-specific applications, as it better target inputs to spatial and temporal needs of the fields, which can result in lower greenhouse gas emissions. Precision agriculture can also have a positive impact on farm productivity and economics, as it provides higher or equal yields with lower production cost than conventional practices. In this work, precision agriculture technologies that have the potential to mitigate greenhouse gas emissions are presented providing a short description of the technology and the impacts that have been reported in literature on greenhouse gases reduction and the associated impacts on farm productivity and economics. The technologies presented span all agricultural practices, including variable rate sowing/planting, fertilizing, spraying, weeding and irrigation.

show abstract

Section: Ghg Emissions Reduction Potential Through Mgmentioning

confidence: 99%

“…Guidance systems such as lightbar and auto-steering can benefit crop growers by reducing working hours as operators in the field by 6.04% and reducing fuel consumption by 6.32% [101].…”

Section: Impacts Of Mg Use On Productivity and Farm Economicsmentioning

confidence: 99%

Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics

Beck²,

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Economic and environmental sustainability of cropping systems can be improved by reducing inputs (i.e., tillage, irrigation water and fertilizers, pesticides and herbicides) and increasing use efficiencies. This implies the adoption of precision agriculture practices (Bongiovanni and Lowenberg-Deboer, 2004; Bora et al ., 2012). In few words any input should be provided at the right rate (neither less, to avoid yield loss, nor more, to avoid money loss, pollution and health risks), at the right time (i.e., synchronizing application schedule with crop needs) and only where necessary (i.e., targeted delivery), as revealed by an accurate monitoring of the crop status.…”

Section: Introductionmentioning

confidence: 99%

Reliability of Ndvi Derived by High Resolution Satellite and Uav Compared to in-Field Methods for the Evaluation of Early Crop N Status and Grain Yield in Wheat

et al. 2017

View full text Add to dashboard Cite

SUMMARYThis study was aimed at comparing in-field parameters and remote sensing NDVI (normalized difference vegetation index) by both satellite (SAT) and unmanned aerial vehicle (UAV) for the assessment of early nitrogen (N) status and prediction of yield in winter wheat (Triticum aestivum L.). Six increasing N rates, i.e., 0, 40, 80, 120, 160, 200 kg N ha−1 were applied, half at tillering and half at shooting. Thus, when the crop N status was monitored between the two N applications, consecutive N treatments differentiated from each other by just 20 kg N ha−1. The following in-field and remote sensed parameters were compared as indicators of crop vegetative and N status: plant N% (w:w) concentration; crop N uptake (Nupt); ratio between transmitted and incident photosynthetically active radiation (PARt/PARi); leaf SPAD values, an indirect index for chlorophyll content; SAT and UAV derived NDVI. As reliable indicators of wheat N availability, in-field parameters were ranked as follows: PARt/PARi ≅ Nupt > SPAD ≅ N%. The PARt/PARi, Nupt and SPAD resulted quite strongly correlated to each other. At all crop stages, the NDVI was strongly correlated with PARt/PARi and Nupt. It is of relevance that NDVI correlated quite strongly to in-field parameters and grain yield at shooting, i.e., before the second N application, when the N rate can still be adjusted. The SAT and UAV NDVIs were strongly correlated to each other, which means they can be used alternatively depending on the context.

show abstract

“…Precision agriculture (PA) is mainly aimed at improving economic and environmental sustainability of cropping systems by reducing inputs and increasing temporal and spatial use efficiencies of the main cultivation operation like tillage, irrigation, fertilizers, pesticides and herbicides (see e.g. references [ 1 – 3 ]).…”

Section: Introductionmentioning

confidence: 99%

Using Sentinel 2 Data to Guide Nitrogen Fertilization in Central Italy: Comparison Between Flat, Low VRT and High VRT Rates Application in Wheat

Santaga

Benincasa

Vizzari

2020

Computational Science and Its Applications – ICCSA 2020

View full text Add to dashboard Cite

The goal of this research was to compare traditional and variable rate technology (VRT) nitrogen (N) fertilization in winter wheat ( Triticum aestivum L. ). The study was developed over two years in two different fields (one field per year). Three different N fertilization approaches applied to the second fertilization were compared by integrating NDVI (Normalized Difference Vegetation Index) data from Sentinel 2 satellites (S2), grain yield, and protein content. In both fields used for the experimentation, the three treatments were defined as follows: 1) a standard rate (Flat-N) derived by an N balance approach; 2) a variable rate based on S2 NDVI, where the maximum rate was equal to the standard rate (Var-N-low); 3) a variable rate based on S2 NDVI, where the average rate was equal to the standard rate (Var-N-high). An inverse linear relationship between NDVI and N-rates was applied to calculate VRT doses on the assumption that NDVI and other correlated VIs, before the second N fertilization, are directly related to crop N nutritional status. Results show that differences between treatments in terms of NDVI, grain yield, and protein content were very low and generally not significant, suggesting that a low-N management approach, even using simple linear models based on NDVI and VRT, may considerably improve the economic and environmental sustainability of N fertilization in winter wheat. Further experiments are necessary to better explore the proposed approaches and compare them, by example, with the NDVI proportional methods that could be more suitable when the crop growth is mainly influenced by limiting factors other than N nutrition status.

show abstract

Energy savings by adopting precision agriculture in rural USA

Cited by 40 publications

References 1 publication

Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics

Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics

Reliability of Ndvi Derived by High Resolution Satellite and Uav Compared to in-Field Methods for the Evaluation of Early Crop N Status and Grain Yield in Wheat

Using Sentinel 2 Data to Guide Nitrogen Fertilization in Central Italy: Comparison Between Flat, Low VRT and High VRT Rates Application in Wheat

Contact Info

Product

Resources

About