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Some useful resources for learning about e-agriculture in practice are the World Bank's e-sourcebook ICT in agriculture – connecting smallholder farmers to knowledge, networks and institutions (2011), [2] ICT uses for inclusive value chains (2013), [3] ICT uses for inclusive value chains (2013) [4] and Success stories on information and ...
Plantix is a mobile crop advisory app for farmers, extension workers and gardeners. Plantix was developed by PEAT GmbH, a Berlin-based AI startup. [1] The app is capable of diagnosing plant damages (caused by pests, diseases or nutrient deficiencies) based on digital images of symptoms.
AI platforms such as "DALL-E", [283] Stable Diffusion, [283] Imagen, [284] and Midjourney [285] have been used for generating visual images from inputs such as text or other images. [286] Some AI tools allow users to input images and output changed versions of that image, such as to display an object or product in different environments.
The integration of AI and IoT in Florida's agriculture is not merely an advancement in productivity. It represents a strong commitment to safeguarding our precious water resources.
Digital agriculture, sometimes known as smart farming or e-agriculture, [1] are 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 agricultural revolution . [ 2 ]
Precision agriculture (PA) is a management strategy that gathers, processes and analyzes temporal, spatial and individual plant and animal data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of ...
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
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.