![]() ![]() This usage pattern resonates harmoniously with the emerging inclination among millennials, who are increasingly employing technology to foster their home-based food cultivation endeavors.įurthermore, Agrio recommends and champions biological and organic treatments within its comprehensive, integrated pest management protocols. These individuals harness the app’s disease identification feature to cater to their specific requirements. Beyond its significance to farmers and crop advisors, a substantial portion of its user base comprises home growers actively seeking expert insights. The plant care app holds immense value for a broad and varied range of users. It helps growers manage plant protection more sustainably, as disease identification is crucial in the plant protection routine. Why not apply this technology to plant disease identification and agronomy advisory? The widespread use of mobile devices makes this question even more relevant as such devices made it possible to distribute a plant care app on a large scale and help growers diagnose plant problems.Īgrio is an Android and iOS application developed to do just that. ![]() In recent years, software products can complete vision-based tasks with expert accuracy. An artificial intelligence-based app that identifies plant diseases became possible thanks to the big leap in performance engineered by the artificial intelligence research community. But what if such assistance is not available? Luckily, technology can come to the rescue by offering a plant care app to growers. Crop advisors support the growers with plant disease identification and treatment decisions and ensure that errors are minimized. Plant inspection is time-consuming, and it often leaves growers with doubts. Due to costs and turnover time, growers make decisions based on the symptoms seen in plants. Visual inspection plays an important role in plant disease identification and diagnosing plant problems, as a lab test is not a practical tool for day-to-day diagnosis. An app that identifies plant diseases and diagnoses plant problems ![]()
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