{"id":21539,"date":"2024-10-22T00:46:37","date_gmt":"2024-10-22T04:46:37","guid":{"rendered":"https:\/\/www.m2sys.com\/blog\/?p=21539"},"modified":"2024-10-22T00:46:37","modified_gmt":"2024-10-22T04:46:37","slug":"use-of-ai-agricultural-for-workforce-management-berry-farmers-reap-70-more-productivity","status":"publish","type":"post","link":"https:\/\/www.m2sys.com\/blog\/ai-in-hcm\/use-of-ai-agricultural-for-workforce-management-berry-farmers-reap-70-more-productivity\/","title":{"rendered":"Use of AI Agricultural for Workforce Management: Berry Farmers Reap 70% More Productivity"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Agriculture has always been the backbone of economies, but with fluctuating weather patterns, labor shortages, and market pressures, farmers are searching for ways to boost efficiency. This is where the use of AI can benefit the agricultural sector. The agricultural sector is increasingly turning to artificial intelligence (AI) to optimize processes, predict outcomes, and maximize productivity. Studies show that the use of AI in agriculture can<a href=\"https:\/\/www.cloudapper.ai\/enterprise-ai\/how-ai-in-enterprise-enhances-efficiency-and-productivity\/\"> increase productivity<\/a> by up to 70% across various farming activities, from crop management to yield tracking.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The global AI agricultural market is expected to grow to<\/span><b> $4.5 billion by 2028<\/b><span style=\"font-weight: 400;\">, driven by automation and predictive analytics tools that streamline farming operations. AI applications range from drone surveillance for monitoring crop health to predictive irrigation systems that optimize water usage. However, one of our recent remarkable cases demonstrating the power of AI in agriculture involves a berry farming company that used the CloudApper AI platform to <a href=\"https:\/\/www.m2sys.com\/blog\/others\/why-ignoring-employee-productivity-tracking-software-will-cost-your-business\/\">track and improve farmers&#8217; productivity<\/a> during the harvesting season.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-21543 aligncenter\" src=\"https:\/\/www.m2sys.com\/blog\/wp-content\/uploads\/2024\/10\/CloudApper-Platform.jpg\" alt=\"\" width=\"550\" height=\"550\" srcset=\"https:\/\/www.m2sys.com\/blog\/wp-content\/uploads\/2024\/10\/CloudApper-Platform.jpg 550w, https:\/\/www.m2sys.com\/blog\/wp-content\/uploads\/2024\/10\/CloudApper-Platform-45x45.jpg 45w, https:\/\/www.m2sys.com\/blog\/wp-content\/uploads\/2024\/10\/CloudApper-Platform-24x24.jpg 24w, https:\/\/www.m2sys.com\/blog\/wp-content\/uploads\/2024\/10\/CloudApper-Platform-48x48.jpg 48w, https:\/\/www.m2sys.com\/blog\/wp-content\/uploads\/2024\/10\/CloudApper-Platform-96x96.jpg 96w, https:\/\/www.m2sys.com\/blog\/wp-content\/uploads\/2024\/10\/CloudApper-Platform-150x150.jpg 150w, https:\/\/www.m2sys.com\/blog\/wp-content\/uploads\/2024\/10\/CloudApper-Platform-300x300.jpg 300w\" sizes=\"(max-width: 550px) 100vw, 550px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">A berry farm partnered with CloudApper to tackle the complexities of managing employee productivity during the harvest. The company required a <a href=\"https:\/\/www.m2sys.com\/blog\/biometric-technology\/managing-coffee-farmers-using-biometrics-enabled-custom-solution\/\">customized AI solution<\/a> to monitor individual and group performance, calculate bonuses, and ensure compliance with quality standards. Managers leveraged the <a href=\"https:\/\/www.cloudapper.ai\/ai-platform-build-integrate-llm-with-enterprise-systems\/\">CloudApper AI platform<\/a> to define production plans, track outcomes, and automate bonus calculations\u2014all without writing a single line of code. The farm&#8217;s productivity goals shifted from month to month, with employees required to meet targets based on different activities\u2014such as planting, pruning, and harvesting. Through the CloudApper AI, the company set individual, group, and facility-wide production targets. These goals were not static: the platform allowed managers to change them dynamically and tailor them to specific activities.<\/span><\/p>\n<p><img decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/www.cloudapper.ai\/wp-content\/uploads\/custom_images\/features\/Enteprise-Workflow-Automation.png\" alt=\"Enteprise-Workflow-Automation\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Whether workers received individual or group bonuses depended on the task type. If farmers hit <\/span><b>at least 70% of the target goal<\/b><span style=\"font-weight: 400;\">, they became eligible for bonuses. However, AI ensured that only those <\/span><b>with 95% or higher quality scores qualified<\/b><span style=\"font-weight: 400;\">, helping maintain product standards. One employee, John, achieved 93.33% productivity on August 21, with a quality score of 95%. His overall performance was calculated as <\/span><b>88.67%<\/b><span style=\"font-weight: 400;\"> (93.33% \u00d7 95%), qualifying him for a daily bonus of <\/span><b>$73.89<\/b><span style=\"font-weight: 400;\">. The platform automatically handled all these calculations and flagged any unjustified absences that could disqualify employees from receiving bonuses.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The flexibility of the CloudApper AI platform also supported dynamic shifts in activities during the day. In one instance, John switched tasks mid-shift\u2014planting seeds in the morning and cleaning seedbeds later in the day. His performance for both activities was recorded separately, and the platform combined them for a total performance of <\/span><b>88%<\/b><span style=\"font-weight: 400;\">. His two activities earned him a combined bonus of <\/span><b>$73.33 <\/b><span style=\"font-weight: 400;\">for the day, split between the two tasks.<\/span><\/p>\n<p><img decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/www.cloudapper.ai\/wp-content\/uploads\/custom_images\/features\/custom-enterprise-dashboard-analytics.png\" alt=\"custom-enterprise-dashboard-analytics\" \/><\/p>\n<p><span style=\"font-weight: 400;\">The CloudApper platform provided the farm with more than just productivity tracking. It integrated seamlessly with payroll systems, exporting all performance data as Excel or CSV files for fast bonus calculations. Supervisors could assign employees to groups for the day, and the platform automatically calculated bonuses based on the group&#8217;s average performance.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The system also helped ensure <\/span><b>labor compliance<\/b><span style=\"font-weight: 400;\"> by tracking attendance and preventing unjustified absences from being overlooked. The farm reported a <\/span><b>65% improvement in labor compliance<\/b><span style=\"font-weight: 400;\"> and an <\/span><b>80% reduction in manual payroll errors<\/b><span style=\"font-weight: 400;\">, saving time and money.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI agriculture is not just a trend\u2014it\u2019s a necessity in modern farming. With AI, farmers can increase productivity, streamline processes, and improve employee engagement. The berry farm&#8217;s success with CloudApper AI demonstrates the transformative impact of AI on agricultural productivity, with the farm achieving <\/span><b>70% more efficiency<\/b><span style=\"font-weight: 400;\"> during the harvest season.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>CloudApper AI boosted a berry farm\u2019s productivity by 70%, automating performance tracking, bonus calculations, and labor compliance. The platform streamlined operations, reduced payroll errors by 80%, and empowered farmers to dynamically manage activities\u2014enhancing efficiency and employee engagement during the harvest season.<\/p>\n","protected":false},"author":424,"featured_media":21540,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_focuskw":"","_yoast_wpseo_title":"Use of AI Agricultural for Workforce Management: Berry Farmers Reap 70% More Productivity","_yoast_wpseo_metadesc":"Discover how AI transformed berry farming, boosting productivity by 70% through CloudApper\u2019s innovative workforce 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