Sunoj Shajahan

Sunoj Shajahan
Cornell University | CU · Department of Animal Science

Doctor of Philosophy
Postdoctoral associate - Research area: precision agriculture, remote sensing, and image analysis; R, Python, Java, JS.

About

30
Publications
12,433
Reads
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328
Citations
Additional affiliations
August 2015 - July 2019
North Dakota State University
Position
  • Research Assistant
January 2015 - April 2015
Ramakrishna Mission Vidyalaya
Position
  • Lecturer
Description
  • FSC 101 - Basic principles in food processing and preservation
Education
August 2015 - December 2018
North Dakota State University
Field of study
  • Agricultural and Biosystems Engineering
July 2012 - August 2014
Tamil Nadu Agricultural University
Field of study
  • Agricultural Processing and Food Engineering
July 2008 - May 2012
Tamil Nadu Agricultural University
Field of study
  • Food Process Engineering

Publications

Publications (30)
Article
Algal blooms and associated oxygen depletion have devastating consequences for freshwater ecosystems. Identifying and quantifying microalgae species require highly expensive equipment that is unaffordable to many research units, mostly those in developing countries. The development of a low-cost technique to quantify the microalgae species could re...
Article
Harvester-mounted yield monitor sensors are expensive and require calibration and data cleaning. Therefore, we evaluated six vegetation indices (VI) from unmanned aerial system (Quantix™ Mapper) imagery for corn (Zea mays L.) yield prediction. A field trial was conducted with N sidedress treatments applied at four growth stages (V4, V6, V8, or V10)...
Article
Full-text available
Harvester-mounted yield monitor systems are increasingly used to document corn (Zea mays L.) yield. The three most commonly used spatial estimation methods to convert point data gathered with yield monitors to regular, grid-based, raster maps include nearest neighbor (NN), inverse distance weighting (IDW) and kriging. Seven spatial estimation metho...
Article
Full-text available
A field nutrient balance (supplied minus harvested) can be an effective, end-of-season management evaluation tool. However, development of guidance for balance-based management requires knowledge of variability in balance inputs. To contribute to development of such guidelines, we evaluated the impact of corn silage hybrid selection, nutrient manag...
Article
Over-wintering cereal cover crops contribute to greater cropping system sustainability by reducing risk of erosion, adding carbon (C), and sequestering inorganic nitrogen (N) between fall harvest and spring planting of annual crops. Carbon and N pools can be measured by manual sampling and laboratory analysis of roots and shoots. However, this is e...
Article
Full-text available
Prolonged lag phase and reactor instability make methane yield description and prediction challenging in upset solid-state anaerobic digestion (SSAD). Seven kinetic models (first-order (FOM), modified first-order (MFOM), Fitzhugh (FzM), logistic (LM), modified logistic (MLM), Cone (CM), and modified Gom-pertz (MGM) were employed for treatment evalu...
Article
Use of agricultural equipment on corn (Zea mays L.) fields can contribute to soil compaction, especially on headland (HL) areas where wheel traffic is more intense than on non‐headland (NHL) areas. Better decisions about HL management (investment to improve production potential, discontinue, or plant another crop) can be made when the HL contributi...
Article
Green energy generation from agricultural waste has the potential to minimize dependency on fossil and reduce the resultant environmental impact of this fuel provided anaerobic reactor performance is optimized. Hence, the interactive impact of carbon to nitrogen (C/N) ratio, particle size, and co-digestion of dairy manure (DM) and corn stover (CS)...
Article
Full-text available
The effect of extrusion screw speed (200, 250, and 300 rpm), barrel temperature (100, 120, and 140 °C), and formulation (Coconut milk residue [CMR] 10–20%, corn flour 20–30% and rice flour 60%) on product characteristics like expansion ratio, bulk density, water solubility and water absorption index, compression force, and cutting strength were inv...
Article
Full-text available
[Free article download link valid until December 10, 2018: https://authors.elsevier.com/a/1XwqJ3I9x1V2A8 ] Image processing in agriculture relies primarily on correlating color changes within images' region of interest to specific quality attributes (e.g., plant phenology, plant health, crop stress, maturity). Changes in lighting conditions during...
Data
This graphical abstract presents the overall measurement process and developed prediction equations.
Article
Full-text available
[ Free access valid until August 11, 2018: https://authors.elsevier.com/a/1XG56cFCSFWlh ] Sunflower floral dimensions are essential for assessing pollinators attraction and estimating seed yields. Dimensions measured manually at present are subjective and time-intensive, therefore, an image processing method was developed as an alternative, which w...
Article
Full-text available
Cashew is a high-value and the third largest edible tree nut that is universally consumed as a snack or included in food preparations. Classification of whole and split cashews in industries is carried out manually by visual inspection and hand-picking, which is time-consuming, tedious, challenging, and laborious. A machine vision methodology of cap...
Article
Full-text available
Soybean aphids are serious pests, causing negative yield impacts in the crop. Assessing their population is essential for making appropriate pesticide application decisions. Manual identification and counting, which is commonly performed to determine the economic threshold level, is time-consuming, laborious, and causes visual fatigue. In this stud...
Article
Full-text available
This study analyses the effect of browning through image analysis based on colour and textural features in fresh-cut apple slices. A computer vision system (CVS) was developed for image acquisition, which consisted of a digital camera and a florescent lamp source for illumination with a contrasting background. The CVS was calibrated using standard...
Conference Paper
Cashew nuts are kidney/concave shaped tree nut which is popular all over the world. During cashew processing, it undergoes various thermal and mechanical stresses and results in the splitting of nuts. Ideally, the market value of whole cashew nuts is higher than the splits (half of whole). Grading cashews into these two major grades (whole, split)...
Conference Paper
Full-text available
Phenocam is a network of time-lapse digital cameras installed all over North America producing images to monitor the phenological changes in plants and correlating it to the climate change patterns. Color is an important discerning feature in an image. The application of image processing in agriculture mostly relies on correlating color changes to...
Article
Knowledge of the engineering properties of jackfruit is necessary for the design of peeler cum corer for its processing. In this study, selected engineering properties of jackfruit (Artocarpus Heterophyllus L.) relevant to development of peeler cum corer were determined. The observed values of length, diameter, weight, rind thickness, core length a...
Article
Ozone is activated oxygen and it is referred as triatomic form of oxygen. It is a natural agent has a broad antimicrobial property, which together with an oxidation potential make it an attractive option for the food industry. This paper focuses on the use of ozone for preservation of vegetables, fruits and fruit juices and highlights the inactivat...
Conference Paper
Aphids population on soybean plants, usually assessed by manual counting, is essential to make pesticide application decisions. Pesticide is applied if the aphid counts exceed the economic threshold of 250 per plant. Manual counting is time-consuming, laborious, and causes visual fatigue. The objective of this study was to develop a method based on...
Conference Paper
Calibration models to predict cocoa bean's quality parameters, such as fermentation index, pH and total polyphenol content were developed using Fourier transform (FT) near-infrared (NIR) spectroscopy in a nondestructive manner. Cocoa pods were stored up to 21 days as a pretreatment method and the effect on quality parameters were investigated at sp...
Conference Paper
Full-text available
Plant phenology is the study of cyclic and seasonal rhythms in plants with respect to environmental stresses. Tools to monitor the changes in plant canopy, assess plant growth and performance on a continuous basis is critical for sustainable agriculture. Phenocam is a dedicated surveillance digital camera that captures repeated photographs of the p...
Article
{Free access to the article valid until June 15, 2016: http://authors.elsevier.com/a/1Sxg0cFCS7t-a} A study was conducted to develop nondestructive calibration models to predict cocoa bean’s quality parameters, such as fermentation index, pH and total polyphenol content using Fourier transform (FT) near infrared (NIR) spectroscopy. Cocoa pods were...
Article
Full-text available
The Fourier Transform Near Infrared (FT-NIR) absorbance spectra (12800-3600 cm-1) of 222 green gram samples was used to build calibration models for the determination of the content of protein, fat and carbohydrate. The samples that comprised the dataset had an average composition of 22.18% of protein, 1.30% fat, and 50.72% carbohydrate. Multivaria...