"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 to optimize crop yields and reduce input use by applying inputs only where and when they are needed.
Remote Sensing: The use of satellite imagery and other tools for gathering information about crops, soil, and weather conditions.
Geographic Information Systems (GIS): A computer software tools for displaying, analyzing, and manipulating geospatial data.
Precision Planting: The process of using specialized tools and equipment to plant crops at the proper depth, spacing, and time for optimal growth.
Fertilizer Management: The use of soil and crop monitoring data to determine the most effective use of fertilizers for plant growth.
Irrigation Management: The use of sensors and other tools to optimize irrigation systems for crop growth while reducing water waste.
Crop Scouting: The process of regularly monitoring crops for pests, disease, and other issues that can affect crop yield and quality.
Data Management: The collection, storage, and analysis of data from various sources for use in decision-making processes.
Yield Monitoring: The use of sensors and other tools to accurately measure crop yield in real-time.
Precision Livestock Farming: The use of sensors and other tools to monitor the health and behavior of livestock for enhanced herd management.
Autonomous Farming: The use of robotics and automated machinery for plant and animal care, crop harvesting, and other farm tasks.
Predictive Analytics: The use of statistical models and algorithms to predict and respond to changes in crop growth conditions.
Artificial Intelligence (AI): The use of machine learning and computer vision to automate and enhance farm management processes.
Sustainable Agriculture: Agriculture that prioritizes environmental sustainability, social inclusiveness, and economic profitability.
Farm-to-Fork Traceability: The use of blockchain technology to track and trace food products throughout the supply chain.
Agribusiness Management: The use of financial and business planning tools to optimize farm profitability and sustainability.
GPS/GNSS-based systems: Uses GPS/GNSS technology to map fields, measure yield, and control variable rate applications.
Remote sensing-based systems: Uses satellite, aerial or drone imaging to gather data to map crop health, monitor crop growth and identify potential problems.
Soil sensor-based systems: Uses sensors to monitor soil moisture, temperature, and nutrient levels of soils to improve crop yield.
Automated machinery-based systems: Uses automated machinery such as drones, tractors, harvesters, and planters to manage the needs of crops more efficiently and accurately.
Climate risk management-based systems: Uses climate data and weather forecasting to help farmers plan seeding and harvesting schedules, and reduce crop loss due to weather.
Data analytics-based systems: Uses data analytics to analyze large volumes of data related to crop growth and yield, weather patterns, soil quality, and market trends to help farmers make informed decisions about their crops.
Precision irrigation-based systems: Uses irrigation systems to deliver precise water quantities to crops to reduce wastage, optimize crop yield and conserve water.
Supply chain management-based systems: Uses technology to manage the entire supply chain for crops from farm to consumer, reducing waste and increasing the value of the entire crop through better distribution and logistics.
"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."