{"id":24247,"date":"2020-04-22T11:58:57","date_gmt":"2020-04-22T09:58:57","guid":{"rendered":"https:\/\/www.intellias.com\/?p=24247"},"modified":"2024-07-09T17:08:16","modified_gmt":"2024-07-09T15:08:16","slug":"how-to-interpret-agricultural-drone-data-for-crop-management-decisions","status":"publish","type":"blog","link":"https:\/\/intellias.com\/how-to-interpret-agricultural-drone-data-for-crop-management-decisions\/","title":{"rendered":"How to Interpret Agricultural Drone Data for Crop Management Decisions"},"content":{"rendered":"
What role do drones play in modern agriculture? It largely depends on whom you ask.<\/p>\n
AgriTech providers would showcase features of agricultural drone technology like cameras, thermal sensors for creating field maps, and the amount of valuable data drones can collect.<\/p>\n
Farmers see agricultural drones as an additional expense and a source of unstructured data they don\u2019t know how to act on. And they certainly are looking for ways to return their investment in drones.<\/p>\n
The recent \u201cDrones in Agriculture: Lessons From The Field<\/a>\u201d webinar by DroneDeploy on drone use for agriculture addressed the most significant challenges farmers and AgriTech providers want to overcome with drones this year. In a survey conducted during the webinar, 56% of respondents chose interpreting drone data to make crop decisions as the challenge they most wanted to address.<\/p>\n In this article, we\u2019ll focus on applications of agricultural drone technology that are beneficial for both farmers and AgriTech providers and see how robust integrations can help farmers interpret data from agricultural drones to make decisions about crops.<\/p>\n What you\u2019ll find inside:<\/b><\/p>\n Agriculture Software Development<\/p>\n Collaboration with farmers is key for AgriTech providers. Understanding farming operations, differences in approaches to various crops, and farmers\u2019 expectations from technology can help AgriTech companies keep their offerings tied to farmers\u2019 needs.<\/p>\n What farmers get now is a large amount of data they need to sort out, which requires a lot of time and effort. What they want are recommendations based on field data \u2014 maybe without need to directly interact with this data at all. Going further, farmers may want technology to automatically respond to data insights with only minor intervention from the farmer\u2019s side. All in all, farmers would not mind pushing a button and seeing the farm work automatically.<\/p>\n This level of automation is probably far off, but practical cases of interpreting data into actionable insights are already around.<\/p>\n What farmers need from agricultural drones:<\/b> Learn how to encourage farmers to use big data analytics in agriculture<\/p>\n Farmers are striving for insights, not raw data. If farmers need to take an additional 5 to 10 steps after collecting data to see its value, they\u2019ll choose not to do so. To provide these insights, AgriTech companies should process data right away and integrate agricultural drone technology with crop management systems, drone mapping software, automated machinery, and even payment systems to create a borderless ecosystem of agricultural technologies<\/a>. Later, farmers may find a correlation between drone usage and return on investment (ROI) on this technology.<\/p>\n\n
What do farmers want from agricultural drones?<\/h2>\n
\n<\/p>\nThe most beneficial applications of UAV crop monitoring<\/h2>\n
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