"Precision agriculture (PA) is a farming management strategy based on observing, measuring and responding to temporal and spatial variability to improve agricultural production sustainability."
The use of technology, such as remote sensing, GPS, and data analysis, to optimize crop management and reduce input costs, while increasing yields, quality, and environmental stewardship.
Remote Sensing: The use of sensors and satellites to gather information about crops and agricultural land.
Geographic Information Systems (GIS): The use of spatial mapping to better understand soil types, field variability, and land usage.
Yield Monitoring: The use of sensors to monitor and measure crop yield at different locations in the field.
Variable Rate Technology (VRT): The use of precision technology to vary the application rates of inputs such as seed, fertilizer, and pesticides.
Data Management: The ability to gather, store, and analyze data about agricultural systems and processes to make better decisions.
Soil Sampling and Analysis: Gathering soil samples to analyze key nutrients and other factors that influence crop growth and yield.
Crop Scouting: The process of visually inspecting fields to identify pest and disease problems.
Farm Equipment Technology: The use of GPS and other technology to improve efficiency and accuracy of farm equipment.
Crop Monitoring: Using sensors and other technology to monitor crop health and growth in real-time.
Irrigation Management: Using sensors and other technology to optimize water usage and reduce waste.
Crop management: It involves using technology such as sensors, satellite imagery, and weather forecasts to monitor crop growth and improve yield.
Soil management: It involves using soil sensors and mapping to understand the health and fertility of the land, and make adjustments to the soil profile and inputs accordingly.
Livestock management: Precision agriculture can help farmers manage their livestock more effectively by monitoring feeding and breeding habits, tracking animal health, and optimizing animal performance.
Pest management: It involves using technology to monitor and manage pest populations, reducing the use of pesticides and herbicides, and minimizing damage to crops.
Water management: Precision agriculture can help farmers manage water resources more efficiently by monitoring rainfall, irrigation, and soil moisture levels, and adjusting watering schedules accordingly.
Fertilizer management: It involves using precision agriculture technologies to optimize fertilizer use and reduce environmental impacts, by applying only the amount of fertilizer that is needed, where it is needed.
Harvest management: It involves using technology such as yield monitors, GPS, and data analytics to optimize the harvest process and minimize losses.
Supply chain management: Precision agriculture technologies can also be used to manage the supply chain, by tracking product quality, quantity, and traceability.
"The goal of precision agriculture research is to define a decision support system (DSS) for whole farm management with the goal of optimizing returns on inputs while preserving resources."
"First conceptual work on PA and practical applications go back to the late 1980s."
"Among these many approaches is a phytogeomorphological approach which ties multi-year crop growth stability/characteristics to topological terrain attributes."
"The interest in the phytogeomorphological approach stems from the fact that the geomorphology component typically dictates the hydrology of the farm field."
"The practice of precision agriculture has been enabled by the advent of GPS and GNSS."
"The farmer's and/or researcher's ability to locate their precise position in a field allows for the creation of maps of the spatial variability of as many variables as can be measured."
"These arrays consist of real-time sensors that measure everything from chlorophyll levels to plant water status, along with multispectral imagery."
"This data is used in conjunction with satellite imagery by variable rate technology (VRT) including seeders, sprayers, etc. to optimally distribute resources."
"Recent technological advances have enabled the use of real-time sensors directly in the soil, which can wirelessly transmit data without the need for human presence."
"Precision agriculture has also been enabled by unmanned aerial vehicles that are relatively inexpensive and can be operated by novice pilots."
"These agricultural drones can be equipped with multispectral or RGB cameras."
"These multispectral images contain multiple values per pixel in addition to the traditional red, green, blue values such as near-infrared and red-edge spectrum values used to process and analyze vegetative indexes such as NDVI maps."
"These drones are capable of capturing imagery and providing additional geographical references such as elevation, which allows software to perform map algebra functions to build precise topography maps."
"These topographic maps can be used to correlate crop health with topography, the results of which can be used to optimize crop inputs such as water, fertilizer, or chemicals such as herbicides and growth regulators through variable rate applications."
"Precision agriculture (PA) is a farming management strategy based on observing, measuring, and responding to temporal and spatial variability to improve agricultural production sustainability."
"The goal of precision agriculture research is to define a decision support system (DSS) for whole farm management with the goal of optimizing returns on inputs while preserving resources."
"The practice of precision agriculture has been enabled by the advent of GPS and GNSS."
"These arrays consist of real-time sensors that measure everything from chlorophyll levels to plant water status, along with multispectral imagery."
"Recent technological advances have enabled the use of real-time sensors directly in the soil, which can wirelessly transmit data without the need for human presence."