This is an interesting read about deep learning (I've been using it to map wheat yield using remote sensing). You've got to love an article that leads with a reference to Edwin Abbot's "Flatland" pnas.org/content/117/48/3003ā¦
How can data collected on broadacre farms be combined with biophysical and agro-economic models to help growers improve management decisions? Dr Fiona Evans @bigagdata is on a quest to figure it out. Read about it in #PrecisionAgNews
Core research to enable long-term analysis of how yield varies within fields in different seasonal conditions: Spatially weighted estimation of broadacre crop growth improves gap-filling of Landsat NDVI mdpi.com/1129468 via @MDPIOpenAccess
A recent review of one of my postdoctoral researchers' articles stated: 'The article should be written impersonally, avoiding the word "we"'. My opinion is that this recommendation is antiquated and unnecessary. What do you guys think?
Obstacles to big data in agriculture: data error, inaccessible or unusable data, incompatible systems, inconvenience, unclear ROU and unclear ownership #bigagdatalink.springer.com/article/10ā¦
Recent work by @JianxiuS using random forests and weather data to predict missing NDVI in sequences obtained from the Landsat-8 satellite: agu2020fallmeeting-agu.ipostā¦
About a year ago, I wrote myself a āresearch philosophyā and stuck it to my wall.
When research opportunities have come up, Iāve used it to decide whether to go for them or not.
I canāt tell you how useful and liberating itās been
@AcademicChatter@OpenAcademics