"Precision agriculture (PA) is a farming management strategy based on observing, measuring and responding to temporal and spatial variability to improve agricultural production sustainability."
Use of technology for improved efficiency and yield in agriculture.
Remote sensing: The use of satellite and aerial imagery to gather information about crops and fields.
Geographic Information Systems (GIS): The integration of maps and geographic data to make informed decisions about farm management.
Global Navigation Satellite Systems (GNSS): The use of GPS to locate and navigate farm equipment.
Variable Rate Application (VRA): The ability to apply inputs (e.g. fertilizer or pesticide) at variable rates across a field based on specific crop needs.
Yield monitoring: The use of sensors to measure crop yield and quality during harvesting.
Soil and moisture sensors: The use of sensors to monitor soil moisture and nutrients, allowing for precise irrigation and fertilizer application.
Predictive modeling: The use of algorithms and machine learning to forecast crop growth and yield.
Robotics and automation: The use of machines and robots to assist with farming practices such as planting or harvesting.
Data management and analysis: The collection, storage, and analysis of data to make informed decisions about farm management.
Weather forecasting: The integration of weather data to make proactive decisions about farming practices.
"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."