Add to ORKGWe have developed scripts for data cleaning and processing. We are now developing scripts for range of predictive and optimization modelling. In parallel, we are also developing a schema to automate all of these processes through data cleaning to production of knowledge product in the form of dashboard
To strengthen the quantitative assessment of CSA effect on farm level performance, the tool was adju...
Sustainable, high-yield production of crops requires transitioning from conventional agricultural me...
During 2019, the rice crop manager tool was integrated into the web portal of common service centers...
Heterogeneity in soils, hydrology, climate, and rapid changes in rural economies including volatile ...
Data collection in Bangladesh and Nepal, through government agencies, has been reached. Data analysi...
Climate Smart Agriculture incorporates information on soils, bothers, maladies, costs and different ...
More recently, big data tools and technologies have been applied in the agriculture sector leading t...
Although very preliminary, to our knowledge, this is the first attempt at ensemble machine learning ...
We have influenced and supported the Ministry of Agriculture to develop and launch soils/agronomy da...
Recent advances in information and communication technologies (ICT) have led the agricultural sector...
The 14th International Conference on Precision Agriculture, Montreal, Canada, 24-27 June 2018Nowaday...
The increasing concentration of anthropogenic greenhouse gases in the atmosphere is altering the cli...
Increasing demand for land to ensure human food security in the future has already impelled agricult...
A proof of concept prototype has been developed as an open-source tool and tested for sorghum in Ind...
From forecasting presidential elections to predicting disease outbreaks, analysts are finding ways ...
To strengthen the quantitative assessment of CSA effect on farm level performance, the tool was adju...
Sustainable, high-yield production of crops requires transitioning from conventional agricultural me...
During 2019, the rice crop manager tool was integrated into the web portal of common service centers...
Heterogeneity in soils, hydrology, climate, and rapid changes in rural economies including volatile ...
Data collection in Bangladesh and Nepal, through government agencies, has been reached. Data analysi...
Climate Smart Agriculture incorporates information on soils, bothers, maladies, costs and different ...
More recently, big data tools and technologies have been applied in the agriculture sector leading t...
Although very preliminary, to our knowledge, this is the first attempt at ensemble machine learning ...
We have influenced and supported the Ministry of Agriculture to develop and launch soils/agronomy da...
Recent advances in information and communication technologies (ICT) have led the agricultural sector...
The 14th International Conference on Precision Agriculture, Montreal, Canada, 24-27 June 2018Nowaday...
The increasing concentration of anthropogenic greenhouse gases in the atmosphere is altering the cli...
Increasing demand for land to ensure human food security in the future has already impelled agricult...
A proof of concept prototype has been developed as an open-source tool and tested for sorghum in Ind...
From forecasting presidential elections to predicting disease outbreaks, analysts are finding ways ...
To strengthen the quantitative assessment of CSA effect on farm level performance, the tool was adju...
Sustainable, high-yield production of crops requires transitioning from conventional agricultural me...
During 2019, the rice crop manager tool was integrated into the web portal of common service centers...