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A simple soil moisture sensor for gardeners. Soil moisture sensors measure the volumetric water content in soil. [1] Since the direct gravimetric measurement of free soil moisture requires removing, drying, and weighing of a sample, soil moisture sensors measure the volumetric water content indirectly by using some other property of the soil, such as electrical resistance, dielectric constant ...
The E-agriculture in Action series of publications, by FAO-ITU, that provides guidance on emerging technologies and how it could be used to address some of the challenges in agriculture through documenting case studies. E-agriculture in Action: Big Data for Agriculture [22] E-agriculture in Action: Blockchain for Agriculture [23]
Agrometeorology is the study of weather and use of weather and climate information to enhance or expand agricultural crops or to increase crop production. Agrometeorology mainly involves the interaction of meteorological and hydrological factors, on one hand and agriculture, which encompasses horticulture, animal husbandry, and forestry.
The report A Comprehensive Assessment of Water Management in Agriculture [1] was published in 2007 by International Water Management Institute and Earthscan in an attempt to answer the question: how can water in agriculture be developed and managed to help end poverty and hunger, ensure environmentally sustainable practices, and find the right balance between food and environmental security?
In precision agriculture, soil samples may be geolocated using GPS technology in order to estimate the geospatial distribution of nutrients in the sampled area.The geolocated samples are collected using a distribution and resolution that allows for the estimation of the geospatial variability of the soil area where the crop will be grown.
Agricultural water balances are also used in the salt balances of irrigated lands. Further, the salt and water balances are used in agro-hydro-salinity-drainage models like Saltmod . Equally, they are used in groundwater salinity models like SahysMod which is a spatial variation of SaltMod using a polygonal network.
In agriculture, data mining utilizes data science techniques to analyze large volumes of agricultural data. Recent technological advancements, such as sensors technology, droness, and satellite imagery, have enabled the collection of extensive data on soil health, weather patterns, crop growth, and pest activity. This data is analyzed to ...
Agricultural data are indispensable for planning and administering related federal and state programs in such areas as consumer protection, conservation and environmental quality, trade, education and recreation. NASS data helps to ensure an orderly flow of goods and services among agriculture's producing, processing and marketing sectors.