SunCulture<\/a>, a solar irrigation technology company, is targeting farmers with solar irrigation pumps capable of studying the weather using built-in algorithms and optimising performance at all times. <\/p>\n\n\n\nThe\nsolar-powered kits, known as RainMaker2 with ClimateSmart, equally incorporates\nInternet of Things (IoT) and sends phone SMS alerts to farmers advising them to\ntime their irrigation, based on weather patterns predicted by the smart\nmachine.<\/p>\n\n\n\n
It\u2019s a\nsubmersible pump and was founded by American impact investor Samir Ibrahim.<\/p>\n\n\n\n
\u201cThe\nbrushless motor solar pump can pump 3,000 litres per hour in boreholes and\nwells as deep as 230 feet,\u201d the company said.<\/p>\n\n\n\n
With the\nsmart solar pumps, the company seeks to tilt agricultural practices among\nsmallholder farmers towards efficiency and boost their yields and returns. And\nwith the machine learning component, farmers can seize control of their\nproduction patterns, without being at the mercy of weather conditions.<\/p>\n\n\n\n
Futurepump\nis yet another solar irrigation firm in Kenya looking to boost operational\nefficiency through remote monitoring. Its pumps are designed in the Netherlands\nand built in the company\u2019s factory in India. <\/p>\n\n\n\n
Unlike\nSunCulture\u2019s submersible pumps, installed inside wells to push out water,\nFuturepumps are surface pumps and can pump up to 1,800 litres of water per\nhour.<\/p>\n\n\n\n
\u201cOur pumps include\nour data logging system with a SIM card, which sends performance data over\nmobile phone networks about each individual pump. We can track the pump\u2019s\nlocation, its daily utilisation, and electrical and mechanical technical data.\nAll these together enable us to understand how well the pump is working and\nwhether a service might be required,\u201d said Futurepump sales director Brian\nMarsh.<\/p>\n\n\n\n
\u201cWe\u2019re able to\nproactively determine the condition of each solar pump, anywhere in the world.\nIf the data tells us a rubber seal needs changing, we can send a text message\nto the customer suggesting she fits one of the spare seals we supplied her, or\nto the local distributor asking him to stop by,\u201d he added.<\/p>\n\n\n\n
UK-based\nAzuri Technologies, which installs pay-as-you-go solar kits for lighting and\npowering electronics in off-grid homes, is yet another company that has\nincorporated machine learning in its devices.<\/p>\n\n\n\n
The\ncompany\u2019s HomeSmart kits provide light in off-grid households every night\nregardless of whether there was sunshine during the day or not.<\/p>\n\n\n\n
The\nsmart kit monitors homes\u2019 power usage and adjusts light brightness according to\nlevels of energy stored in the battery in order to sustainably meet the\ncustomers\u2019 daily power needs, including nighttime.<\/p>\n\n\n\n
The\nBritish firm, created in the prestigious University of Cambridge, is now\nexploring ways in which to build Wi-Fi routers within its solar package to\nconnect remote villages to the global internet highway.<\/p>\n\n\n\n
Solar\nexperts reckon that Kenya, like most African nations, has a high potential to\ngenerate large-scale solar energy given high radiation levels from the sun\nthroughout the year. <\/p>\n\n\n\n
SunCulture\nsaid that its solar irrigation pumps come with a climate smart lithium battery\nwith maximum power point tracking (MPPT) charge controller that enables\nreliable performance in all weather conditions.<\/p>\n\n\n\n
The MPPT charge controller increases the efficiency of battery charging state and keeps the voltage and current at an optimised level where the modules deliver the most juice.<\/p>\n\n\n\n
Read also:<\/strong> Geothermal At The Wheel In Kengen\u2019s Growth Drive<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"Solar companies in Kenya have added machine learning within their kits, enabling them to accurately predict trends and adjust performance to ensure optimal output at all times, regardless of weather…<\/p>\n","protected":false},"author":3,"featured_media":8377,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","pagelayer_contact_templates":[],"_pagelayer_content":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[92],"tags":[226,665,972,1246,1252,1290],"class_list":["post-8376","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-environmental-responsibility","tag-azuri-technologies","tag-futurepump","tag-machine-learning","tag-solar","tag-solar-irrigation-pumps","tag-sunculture"],"_links":{"self":[{"href":"https:\/\/rayscohosting.best\/ASM\/wp-json\/wp\/v2\/posts\/8376","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rayscohosting.best\/ASM\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rayscohosting.best\/ASM\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rayscohosting.best\/ASM\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/rayscohosting.best\/ASM\/wp-json\/wp\/v2\/comments?post=8376"}],"version-history":[{"count":0,"href":"https:\/\/rayscohosting.best\/ASM\/wp-json\/wp\/v2\/posts\/8376\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rayscohosting.best\/ASM\/wp-json\/wp\/v2\/media\/8377"}],"wp:attachment":[{"href":"https:\/\/rayscohosting.best\/ASM\/wp-json\/wp\/v2\/media?parent=8376"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rayscohosting.best\/ASM\/wp-json\/wp\/v2\/categories?post=8376"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rayscohosting.best\/ASM\/wp-json\/wp\/v2\/tags?post=8376"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}