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Precision agriculture uses technology on agricultural equipment (e.g. tractors, sprayers, harvesters, etc.): positioning system (e.g. GPS receivers that use satellite signals to precisely determine a position on the globe); geographic information systems (GIS), i.e., software that makes sense of all the available data;
An agricultural robot is a robot deployed for agricultural purposes. The main area of application of robots in agriculture today is at the harvesting stage. Emerging applications of robots or drones in agriculture include weed control, [1][2][3] cloud seeding, [4] planting seeds, harvesting, environmental monitoring and soil analysis. [5][6 ...
Harvest offers time tracking, invoicing, expense tracking, and time-based reporting. Users can send automated payment reminders from the software if clients haven't paid an invoice on time. This is a "less stressful option for managers who hate dunning their customers."
FarmBot.io. FarmBot is an open source precision agriculture CNC farming project consisting of a Cartesian coordinate robot farming machine, software and documentation including a farming data repository. [1][2] The project aims to "Create an open and accessible technology aiding everyone to grow food and to grow food for everyone."[2]
Digital agriculture. Digital agriculture, sometimes known as smart farming or e-agriculture, [1] is tools that digitally collect, store, analyze, and share electronic data and/or information in agriculture. The Food and Agriculture Organization of the United Nations has described the digitalization process of agriculture as the digital ...
SWAT is a continuous time model that operates on a daily time step at basin scale. The objective of such a model is to predict the long-term impacts in large basins of management and also timing of agricultural practices within a year (i.e., crop rotations, planting and harvest dates, irrigation, fertilizer, and pesticide application rates and timing).
Information and communication technology in agriculture (ICT in agriculture), also known as e-agriculture, is a subset of agricultural technology focused on improved information and communication processes. More specifically, e-agriculture involves the conceptualization, design, development, evaluation and application of innovative ways to use ...
A Crop Simulation Model (CSM) is a simulation model that describes processes of crop growth and development as a function of weather conditions, soil conditions, and crop management. [1][2][3] Typically, such models estimate times that specific growth stages are attained, biomass of crop components (e.g., leaves, stems, roots and harvestable ...
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