Posts in Precision Agriculture
NIR & Remote Sensing (March 2015)

This Poster presented at the Rice field day at RRAPL in March 2015 by Brian Dunn from NSW DPI Yanco. The poster presents information on the trial into NIR and remote sensing which is investigate the use of remote sensing to determine crop PI N uptake with the aim to reduce the need for farmers to physically sample their crops at PI. The results from the 2013 and 2014 are presented on the poster. The success of this project is aiming to be able to provide farmers with PI nitrogen rates without taking physical samples having to be taken. 

Read More
Rice Extension on the New Grower Services Web Portal for SunRice (2014)

Access to the RICE EXTENSION TAB will be for all growers who will have a login, and also to Advisors, non-SunRice growers, researchers who will need to be set up with a login password access. This group are an important link for future extension to be successful.

Read More
Improving rice water use efficiency - Direct Drilling of rice and Precision Farming (June 2014)


Water use efficiency is a driving factor for the Australian rice industry. Australian rice farmers grow rice in one of the driest continents in the world, achieving some of the world’s highest yields per hectare and water use efficiency per kilogram produced (Dunn & Pal Singh, 2013). In recent years, the availability of water for agricultural production has been reduced significantly as a result of government policy. Australian rice farmers are also under constant scrutiny to justify their water usage, so need to develop new technologies and practices. Historically Australia is one of the few countries to establish a rice crop by flying rice seed into a flooded bay. The majority of the countries visited establish their crops by drilling seed into the soil and establish by flushing. In Australia, this technique could be more broadly adopted with significant savings in water use and input costs.

Read More
Implementing Precion Agriculture in the Australian rice industry. (March 2014)

This Poster presented at the Rice field day at RRAPL in March 2014. The poster presents and overview of the current Precision Agriculture project in the Australian rice industry. It discuss the method and current focus on the project which includes the use and adaptation of EM31 and EM38, NIR, NDVI, water temp, depth, irrigation layout, yield. 

Read More
NIR to enhance precision crop management (2007)

This IREC Farmer Newsletter reports on the  project NIR to enhance precision crop management.The aims included determining variations in dry matter and shoot composition (eg nitrogen and starch) across rice crops. This would provide an understanding of the limitations of fresh tissue analysis by airborne NIR sensors. The project was designed to investigate calibrations for nutrients in fresh rice tissue for use in interpreting data obtained from airborne NIR sensors and finally obtain a basis on which to keep the NIR Tissue Testing Service in line with the latest technology. The report gives and overview of Scanning fresh rice tissues and issues involved. Followed by normalized difference vegative Index (NDVI) and hyperspectral imagery. The findings presented were rice crops can be assessed for variability of dry matter and nitrogen uptake, which are required for better fertiliser management, using reflectance spectra recorded from satellites. It also indicates there is room for further investigations achieve calibrations which provide accurate analyses across all varieties, rice areas and years, for all tissue constituents currently available to farmers using the NIR Tissue Test and to determine the limitations of satellite vs air-borne sensors in routine use by the Australian rice industry.

Read More
Using Near Infrared Technologies to Enhance Precision Management of Rice Crops- Link (January 2007)

This RIRDC report presents the results of an evaluation of sensors which could increase the precision of variable crop fertilization. The aims of this project were to provide: an evaluation of the potential of available airborne scanning NIR sensors to determine variations in dry matter and shoot composition (eg Nitrogen and starch) across rice crops. The project also aimed to provide an understanding of the limitations of fresh tissue analysis by airborne NIR sensors calibrations for nutrients in fresh rice tissue for use in interpreting data obtained from airborne NIR sensors a basis on which to keep the Tissue Testing Service in line with the latest technology. The method used for the project included reflectance spectra from a range of rice genotypes, crop ages and densities and from common weed species were collected during the growing season using above crop scanners (hand held, airborne and satellite borne). The spectra were then used to develop calibrations for actual shoot biomass, nitrogen (N) and nitrogen uptake (N_uptake) in fresh shoots. The spectra were also used to generate a library of signals for actual shoot biomass, nitrogen and other constituents and to identify weeds and unhealthy areas in crops. An NIR specialists enabled them to effectively handle the bit-map data generated by red green blue (RGB) and infra-red camera sensors to establish if existing camera data can also be of use for crop nutrient and density prediction. The key findings were a preliminary calibrations on remotely sensed spectra of rice crops, with correlations of approximately 0.85, were established for % N and N_uptake.

Read More