Proximate Content Monitoring of Black Soldier Fly Larval ( Hermetia illucens ) Dry Matter for Feed Material using Short-Wave Infrared Hyperspectral Imaging.

Autor: Kim J; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Korea., Kurniawan H; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Korea., Faqeerzada MA; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Korea., Kim G; Department of Bio-Industrial Machinery Engineering, College of Agriculture and Life Science, Gyeongsang National University, Jinju 52828, Korea., Lee H; Department of Biosystems Engineering, College of Agriculture, Life & Environment Science, Chungbuk National University, Cheongju 28644, Korea., Kim MS; Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD 20705, USA., Baek I; Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD 20705, USA., Cho BK; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Korea.; Department of Smart Agriculture Systems, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Korea.

Publikováno v: Food science of animal resources [Food Sci Anim Resour] 2023 Nov; Vol. 43 (6), pp. 1150-1169. Date of Electronic Publication: 2023 Nov 01.

Deep Learning-Based Quantitative Assessment of Melamine and Cyanuric Acid in Pet Food Using Fourier Transform Infrared Spectroscopy.

Autor: Joshi R; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Republic of Korea., Gg LP; Department of Multimedia, VIT School of Design (V-SIGN), Vellore Institute of Technology (VIT), Vellore 632014, India., Faqeerzada MA; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Republic of Korea., Bhattacharya T; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Republic of Korea., Kim MS; Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Powder Mill Road, BARC-East, Bldg 303, Beltsville, MD 20705, USA., Baek I; Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Powder Mill Road, BARC-East, Bldg 303, Beltsville, MD 20705, USA., Cho BK; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Republic of Korea.; Department of Smart Agricultural Systems, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Republic of Korea.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 May 24; Vol. 23 (11). Date of Electronic Publication: 2023 May 24.

Identification of Early Heat and Water Stress in Strawberry Plants Using Chlorophyll-Fluorescence Indices Extracted via Hyperspectral Images.

Autor: Poobalasubramanian M; Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea., Park ES; Department of Smart Agricultural Systems, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Korea., Faqeerzada MA; Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea., Kim T; Department of Agriculture Engineering, National Institute of Agricultural Science, Rural Development Administration, Jeonju 54875, Korea., Kim MS; Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Powder Mill Road, BARC-East, Bldg 303, Beltsville, MD 20705, USA., Baek I; Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Powder Mill Road, BARC-East, Bldg 303, Beltsville, MD 20705, USA., Cho BK; Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea.; Department of Smart Agricultural Systems, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Korea.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Nov 11; Vol. 22 (22). Date of Electronic Publication: 2022 Nov 11.

Comparative Determination of Phenolic Compounds in Arabidopsis thaliana Leaf Powder under Distinct Stress Conditions Using Fourier-Transform Infrared (FT-IR) and Near-Infrared (FT-NIR) Spectroscopy.

Autor: Joshi R; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Korea., Sathasivam R; Department of Crop Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea., Jayapal PK; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Korea., Patel AK; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Korea., Nguyen BV; Department of Crop Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea., Faqeerzada MA; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Korea., Park SU; Department of Crop Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea.; Department of Smart Agriculture Systems, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea., Lee SH; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Korea.; Department of Smart Agriculture Systems, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea., Kim MS; Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Powder Mill Road, BARC-East, Bldg 303, Beltsville, MD 20705, USA., Baek I; Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Powder Mill Road, BARC-East, Bldg 303, Beltsville, MD 20705, USA., Cho BK; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon 34134, Korea.; Department of Smart Agriculture Systems, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea.

Publikováno v: Plants (Basel, Switzerland) [Plants (Basel)] 2022 Mar 22; Vol. 11 (7). Date of Electronic Publication: 2022 Mar 22.

Estimation of Cold Stress, Plant Age, and Number of Leaves in Watermelon Plants Using Image Analysis.

Autor: Nabwire S; Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon, South Korea., Wakholi C; Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon, South Korea., Faqeerzada MA; Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon, South Korea., Arief MAA; Department of Smart Agriculture Systems, Chungnam National University, Daejeon, South Korea., Kim MS; Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD, United States., Baek I; Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD, United States., Cho BK; Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon, South Korea.; Department of Smart Agriculture Systems, Chungnam National University, Daejeon, South Korea.

Publikováno v: Frontiers in plant science [Front Plant Sci] 2022 Feb 18; Vol. 13, pp. 847225. Date of Electronic Publication: 2022 Feb 18 (Print Publication: 2022).