Precision Agriculture
Precision Agriculture - Related Videos
12:50
Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
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Cited by 3 •
2017
With the advancement of technology and the rise in end-user expectations, the need and use of higher temporal resolution data for pollutant load estimation has increased. This protocol describes a method for continuous in situ water quality monitoring to obtain higher temporal resolution data for informed water resource management decisions.
12:50
Colorimetric Paper-based Detection of Escherichia coli, Salmonella spp., and Listeria monocytogenes from Large Volumes of Agricultural Water
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Cited by 23 •
2014
A protocol involving integrated concentration, enrichment, and end-point colorimetric detection of foodborne pathogens in large volumes of agricultural water is presented here. Water is filtered through Modified Moore Swabs (MMS), enriched with selective or non-selective media, and detection is performed using paper-based analytical devices (µPAD) imbedded with bacterial-indicative colorimetric substrates.
01:27
Microorganisms in Agriculture and Food industry
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2025
Microorganisms play a crucial role in agriculture and the food industry, contributing to soil fertility, crop protection, and food production. Their functions range from nitrogen fixation and biopesticide production to fermentation and food preservation, making them indispensable to sustainable farming and food safety.Role in AgricultureNitrogen-fixing bacteria, such as Rhizobium (symbiotic) and Azotobacter (free-living), convert atmospheric nitrogen into ammonia through biological nitrogen...
03:37
Uncertainty in Measurement: Accuracy and Precision
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2020
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. Suppose a quality control...
08:49
Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff
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Cited by 4 •
2017
This article summarizes the design attributes and the effectiveness of treatment systems that treat urban stormwater and agriculture irrigation runoff to remove pesticides and other contaminants associated with aquatic toxicity.
FAQs
Spatial variability matters because soil moisture, nutrient availability, crop vigor, and yield can differ within the same field. Treating every area identically may therefore apply more seed, fertilizer, water, or pesticides than particular locations require. Mapping these differences allows decisions to match local conditions, helping explain performance patterns while supporting more efficient and sustainable resource use.
Engineering systems connect measurements with location-based management decisions. GPS and geographic information systems help associate observations with specific field areas, while remote sensing and field sensors provide information about crop and soil conditions. The resulting data guide site-specific choices, and system outputs can direct variable-rate applications of seed, fertilizer, water, or pesticides.
Each source reveals a different aspect of field conditions. Field sensors measure conditions such as soil moisture and nutrient availability, remote sensing helps assess crop vigor, and yield measurements indicate production outcomes. Combining these observations with geographic information provides a fuller view of spatial patterns, which can improve the basis for site-specific management.
An operational workflow starts by measuring field conditions and yield with sensors, remote sensing, or other data sources. GPS and geographic information systems organize those observations spatially. The data are then interpreted to identify differences among locations, converted into variable-rate recommendations, and sent to equipment for accurate implementation.
Variable-rate application adjusts the amount of an input according to conditions identified in different field areas. Engineering equipment uses these recommendations to apply seed, fertilizer, water, or pesticides selectively rather than uniformly. Automated machinery supports accurate placement, helping align resource use with measured needs and reduce unnecessary inputs.
The approach is most relevant when conditions or performance vary within or among fields and managers need to allocate inputs selectively. Its measurements can reveal spatial patterns in soil, crops, and yield, while the resulting applications support improved efficiency, resource conservation, lower operating costs, higher yields, and greater resilience. Engineering makes these goals actionable through integrated sensing and equipment.