
Umesh Acharya PhD
@acharyaumesh7
Soil is Life
ID: 712895744651321344
24-03-2016 06:56:05
31 Tweet
43 Followers
161 Following

MS research by Zach Leitner "Temporal Fluctuations of Microbial Communities within the Crop Growing Season" was published this morning! Congratulations to Zach Leitner and thank you Jodi DeJong-Hughes for a great collaboration! authors.elsevier.com/a/1cbAm3p6oQ6Ky

Congratulations Umesh Acharya Umesh Acharya PhD for passing your Preliminary Exams today! Well done!

Congratulations Dr. Umesh Acharya for passing your PhD defense this morning! Fantastic work on an exciting project! "Soil Moisture Prediction using Meteorological Data, Satellite Imagery, and Machine Learning in the Red River Valley of the North" Umesh Acharya PhD School of Natural Resource Sciences


Machine Learning for Predicting Field Soil Moisture Using Soil, Crop, and Nearby Weather Station Data in the Red River Valley of the North New research by Dr. Umesh Acharya and a great collaboration with Dr. Peter Oduor! Umesh Acharya PhD mdpi.com/1282222

Phd Work got published, two in consecutive week: Soil moisture prediction using weather, field and crop data Aaron Lee M Daigh School of Natural Resource Sciences doi.org/10.3390/soilsy… doi.org/10.1139/CJSS-2…





🚨Just Published🚨 A white paper by Rattan Lal & Umesh Acharya PhD on: "Carbon Accounting for Coffee-Based Farming Systems" This paper provides guidelines for rethinking coffee carbon accounting and synthesizes current information on the topic. Read More: worldcoffeeresearch.org/work/carbon-ac…

Rattan Lal Umesh Acharya PhD Most coffee CFP calculations omit key components that are critical to accurately assessing the CFP for coffee. Using a proposed new accounting system that includes missing components will result in more accurate figures than prior existing carbon estimation tools would generate.

Rattan Lal Umesh Acharya PhD A revised approach to calculating carbon footprints that takes into account missing factors would provide coffee growers and roasters an improved protocol for identifying the best management practices for growing coffee.


#Soilsystems #Machine Learning for Predicting Field #Soil #Moisture Using Soil, #Crop, and Nearby Weather Station Data in the Red River Valley of the North mdpi.com/2571-8789/5/4/… by Umesh Acharya PhD *, Aaron Lee M Daigh and Peter G. Oduor School of Natural Resource Sciences


Maintaining Longterm Mulching Plots for Soil Carbon Study. Lal Carbon Center #SoilCarbon



