Post by SQAT project

📘 𝗪𝗵𝗶𝗰𝗵 𝗮𝗻𝗱 𝗵𝗼𝘄 𝗺𝗮𝗻𝘆 𝘀𝗼𝗶𝗹 𝘀𝗲𝗻𝘀𝗼𝗿𝘀 𝗮𝗿𝗲 𝗶𝗱𝗲𝗮𝗹 𝘁𝗼 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗸𝗲𝘆 𝘀𝗼𝗶𝗹 𝗽𝗿𝗼𝗽𝗲𝗿𝘁𝗶𝗲𝘀: 𝗔 𝗰𝗮𝘀𝗲 𝘀𝘁𝘂𝗱𝘆 𝘄𝗶𝘁𝗵 𝘀𝗲𝘃𝗲𝗻 𝘀𝗲𝗻𝘀𝗼𝗿𝘀 🧠 Is more technology always better? In this study, Jonas Schmidinger, Valentin Barkov, Hamed Tavakoli, Markus Ostermann, Martin Atzmueller, Robin Gebbers and Sebastian Vogel explore how different soil sensors - combined with satellite data - perform when predicting important soil properties like pH, moisture and nutrients. 🟤 Their key finding: using the right combination of sensors matters more than simply using many of them. In some cases, adding more sensors did not improve results at all. This research supports SQAT’s approach of building soil assessment systems that are not only accurate, but also practical, efficient and cost-effective for real-life use. 📖 The full paper is available on the SQAT website: 👉 https://lnkd.in/dKsQ3u4G #SQAT #SoilSensors #PrecisionFarming #DigitalAgriculture #SoilMapping