"It is estimated that corn, soybean, and wheat farmers could save $1.3 billion annually by using drones thanks to crop yield increase and reduced input costs."Read more: Precision agriculture advances and limitations: Lessons to the stakeholders (Crops & Soils / MSU Research)
"The results from these trials indicate that the use of high-quality drone imagery can be used to simulate postemergence optical spot spraying applications, [offering] research-based information that producers can immediately apply to improve their operations [and] make agriculture more sustainable and efficient."Read more: UW Extension: Northwest Wyoming Crop Symposium / Reflections Research Magazine
"The advantage of using UAS [drones] is the capability to scan large areas of potato fields to identify the impacts of crop pests and nutrient deficiencies... to cost-effectively inform decision makers and farm producers on the control and mitigation of crop threats and ensure food security by preventing crop losses."Read more: UI Extension / NIFA: Strengthening Seed Grant: Addressing threats to potato crop using precision agriculture
"The analysis of unoccupied aerial system (UAS) imagery remains a bottleneck to obtaining actionable data due to its complexity and required specialized skill set." "In recent years, unoccupied aerial systems, or drones, have become more popular for taking pictures of farms and many other worksites. While taking pictures with drones is becoming common, getting meaningful information from these pictures still poses a challenge"Read more: Utilizing QGIS for open-source UAS imagery plant classification and plot segmentation
"Variable rate technology [powered by drone imagery] improved nitrogen fertilizer efficiency and reduced nitrate leaching without impacting the yield. NDVI data can be used to inform management decisions such as replanting sections of a field with subpar plant stands."Read more: UMN Extension: Let's talk crops! Strategic Farming Session
"UAV-based [drone-based] multispectral and hyperspectral imagery methods had strong correlations with ground reference data... and detected differences between varieties through dose-response models, [enabling] precise detection of viruses and threats to prevent costly crop failures."Read more: USask Research: UAV-Based Imaging Methods to Examine Herbicide Phytotoxicity in Lentil
