
Explore the principles and technologies of precision agriculture, including GPS, remote sensing, and nutrient management, and see how precision livestock farming, viticulture, beekeeping, and industrial fermentation boost sustainability.
Explore precision agriculture as a farming strategy that observes, measures, and responds to spatial and temporal variability. See how sensors, drones, and variable rate technology optimize inputs while promoting sustainability.
Explore the history of precision agriculture, from the first wave of satellite imagery and weather data to the second wave of machine data, aiming to double food production by 2050.
Learn the principles of precision agriculture, featuring GIS, GPS, VRT, and remote sensing to map soil and crop status and guide variable rate farming.
This course traces how precision agriculture began in the USA in the 1980s and spread globally via GPS-guided variable-rate fertilization, IoT sensors, drones, and precision livestock farming.
Explore how precision agriculture optimizes water, fertilizer, and pesticide inputs at the right time and place to boost yields, cut costs, and reduce environmental runoff.
Explore emerging technologies transforming precision agriculture, including autonomous tractors and GPS-guided robots. See drones, satellites, IoT sensors, and machine learning enable targeted irrigation, weed control, and variable-rate seeding.
Explore the advantages of precision agriculture technology—precision management, real-time data, and better decisions for cost-saving farming, saving time and money—alongside disadvantages like upfront costs on lean budgets and data overload.
Apply data analytics and digital farming technologies to optimize inputs, conserve water, and boost profitability, equity, and environmental stewardship in sustainable agriculture.
Embrace technology and data analytics to advance sustainable agriculture through precision farming and real-time insights that drive yields, profits, and environmental outcomes.
Explore how yield monitors and yield maps enable site-specific management by recording yield, moisture, and location data with differential GPS to guide fertilizer, seed, pesticides, tillage, and irrigation decisions.
Examine the limitations of yield monitors, including delays from crushing and separating systems. Note how end-of-field transitions and smoothing affect readings, and how software corrects delays for variability maps.
Explore how yield and moisture sensors measure mass flow, grain impact force, light attenuation, and moisture via capacitance to produce corrected yield data.
Operate the yield monitor console to record heat and moisture data with GPS position, and enter calibration numbers and correction factors. Use flags to mark weed locations and field issues.
Download data daily from removable memory cartridges to protect against loss and verify yield monitor operation; PCMCIA cards store megabytes, with capacity in hours of operation for 1–3 second intervals.
Calibrate your yield monitor for each grain type at the start of harvest to ensure accurate data, using multiple loads. Recalibrate as needed later when moisture or crop conditions change.
Operate a combine with a yield monitor to create accurate yield maps by keeping a uniform swath width and correctly inputting header width, ensuring reliable data.
Produce yield maps that visualize the location and magnitude of yield variability with color ranges and a spectrum. Use monitor data with mapping software or GIS tools to guide decisions.
Preserve original site yield data in two safe places, analyze variability with soil, rainfall, and weed pressure, and build multi-year records to evaluate productivity and cultural practices.
Explore site specific management strategies using soil characteristics, topography, past practices, and yield maps to guide variable rate nutrient applications with accurate data.
Explore precision agriculture through remote sensing and ground truthing to observe fields without touching them, using true color imagery to detect crop stress and guide site-specific management.
Explore historical aerial photographs as a form of remote sensing to visualize land use, erosion, and soil variability, and see how farmland consolidation shapes canopy and productivity over decades.
Explore how modern aerial photos and digital images reveal variability in crops, detect problems like poor drainage, weeds, insects, nematodes, and diseases, and explain how remote sensing uses digital images.
Explore the electromagnetic spectrum from visible light colors and nanometer wavelengths to infrared remote sensing for detecting stress in crops, and note microwave, ultraviolet, and radio bands.
Explore how soil, water, and plant reflectance reveals health and conditions across the spectrum. Use reflectance ratios and near-infrared signals to detect drought, disease, and nutrient stress for precision agriculture.
Coordinate the collection of remotely sensed images by commercial organizations pooling resources to develop reliable data-collection techniques and deliver the best available imagery across large farming areas.
Explore specialized photographic and electronic technologies, including panchromatic and color panchromatic film, infrared imaging, false color imaging, and multi-band and hyperspectral sensing for precision agriculture.
Explore commercially available remote sensing products offering online access to raw images and analysis tools, with varied image sizes, resolutions, and information about crop vigor and chlorophyll content.
Explore image interpretation, ground truthing, and directed scouting to identify crop variability. Use remote sensing with georeferenced images and handheld GPS for site-specific management decisions.
Discover GPS technology for precision agriculture, where receivers determine location, record data, and apply variable rates across field areas. Learn about the DoD GPS constellation and L1/L2 signals.
Place GPS antennas on the centerline of the vehicle above obstructions, preferably as a combined antenna. Account for time delays and electrical interference with proper installation and noise suppression.
Explore gps technology in precision agriculture, where low-cost receivers track signals from 7 to 10 satellites in view to improve location accuracy and shorten pre-acquisition and reacquisition times.
Explore how satellite constellations use triangulation, where distance errors magnify position errors, and why many dispersed satellites and corrections are needed despite selective availability and multipath effects.
Measure true and pseudo range errors with stationary GPS receivers and apply differential corrections in real time or via post-processing from Coast Guard, Army Corps of Engineers, and commercial sources.
Explore coast guard differential corrections for precision agriculture, using low-frequency signals and minimum shift keying modulation to deliver 1–3 m rmse with satellite and land-based options.
Explore how private GPS receivers and radio transmitters enable your own differential correction source for agriculture, with cost and accuracy trade-offs across low, mid, and high-end systems.
Explore how different coordinate systems affect mapping compatibility and transform data to a common datum and plane coordinates, such as UTM or state plane, for accurate distance, area, and integration.
Explore the universal transverse mercator coordinates (UTM) as a worldwide coordinate system with 60 zones of six degrees longitude, enabling calculations anywhere, and see how GPS positioning supports precision farming.
Explore precision livestock farming, an automated system that monitors animals with sensors to improve production, health, welfare, and environmental impact through quantitative and qualitative data.
Economic livestock farming uses academic studies to tailor feed to life stages, meeting nutrition needs while upholding the quality of ingredients, animal keeping, and processes under legal and societal standards.
Explore precision livestock farming tools that collect per-animal data via unique IDs such as ear tags and wearables, enabling early illness detection and targeted care with internet-connected software.
Explore how precision agriculture technologies like robotic milking, automatic feeders, smart ear tags, RFID, automated weighing, and climate sensors optimize dairy, meat, swine, and poultry management.
Precision viticulture applies precision farming to optimize vineyard yield and quality while minimizing environmental impact by measuring soil, topography, and microclimate and using GPS, sensors, and remote sensing for management.
Precision viticulture uses GPS, remote sensing, digital elevation models, soil surveys, relational databases, and geographic information systems to map vineyard variability and monitor climate and vine productivity via NDVI.
Apply zonal and adaptive management in precision viticulture to tailor pruning, vine support geometry, irrigation, and pest control for healthier vines and even ripening.
Discover precision beekeeping as a precision agriculture strategy that monitors individual bee colonies through data collection, analysis, and application to maximize productivity while minimizing resource use with real-time, automated tools.
Explore technologies for bee colony monitoring and the data collection process in PPB across meteorological and colony level parameters, including temperature, humidity, gas content, sound, video, vibration, heat, and weight.
Explore industrial fermentation as a manufacturing approach using microorganisms to produce biomass and enzymes. Understand how oxygen, nutrients, and temperature affect acetic acid, citric acid, and ethanol.
Explore the fermentation process, including sterilization, foam control, and monitoring pressure, temperature, agitation, and viscosity. Identify growth phases from lag to stationary and how nutrient depletion and toxins affect biomass.
Explore fermentation media that combine carbon sources like molasses or grape must with fixed nitrogen, phosphorus, and trace nutrients for enzyme production and optimized bioethanol fermentation.
Explore extracellular primary metabolites formed during growth, like ethanol and citric acid, and secondary metabolites produced in stationary phase, such as penicillin and lovastatin, which are released without cell rupture.
Explore substrate transformation through fermentation, from ancient food processes to ethanol production, and learn how bacteria and enzymes in sewage treatment convert waste into biogas, fertilizer, and safe effluent.
Explore precision fermentation as a synthetic biology driven approach that uses engineered cell factories to efficiently produce target compounds, including proteins for cultured meat with serum-free media.
Explore nutrient management as a science linking soil, crop, weather, and hydrologic factors with irrigation and conservation to optimize nutrient use efficiency, yields, and economic returns while reducing offsite losses.
A nutrient management plan increases nutrient use efficiency and profit while reducing environmental risk, using digital tools like SST or Aquaworld to apply ten fundamental components.
Optimize nitrogen use to boost crop efficiency while reducing losses from runoff, erosion, and ammonia volatilization. Monitor soil water status to manage nitrogen availability and prevent nitrate buildup.
Precision agriculture is a farming management strategy based on observing, measuring and responding to temporal and spatial variability to improve agriculture production sustainability. it is used in both crop and livestock production. The significance of all this technology is to enhance farming so that, there will be more productivity, which will intend led to more profitability.Precision agriculture has also been enabled by unmanned aerial vehicles that are relatively inexpensive and can be operated by novice pilots. These agriculture drones can be equipped with multispectral or RGB cameras to capture many images of a field that can be stitched together using photogrammetric methods to create orthophotos. Geolocating a field enables the farmer to overlay information gathered from analysis of soils and residual nitrogen, and information on previous crops and soil resistivity.
Remote sensing technologies provide a diagnostic tool that has at least two important functions as well as many other uses in site-specific management of crops. Remote sensing can be used to measure reflectance of light energy from crop canopy, which may be useful in detecting plant stress while there is still time to correct the problem. Yield monitors are an essential component of many site specific management strategies. Yield maps, the visual and numerical product of yield monitors, encourage creative investigation and can provide reliable answers to carefully performed on-farm experiments. Farming with the usage of technology has change the old method of farming, technology has improve farm yields and drastically reduce diseases in many farms.