2023
DOI: 10.1002/agj2.21225
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On‐farm cropping sensor‐based smart device for cutting energy measurement of cereal crops

Abstract: A device was developed for on‐field cutting energy measurement of cereal crops. Physical, engineering, and anatomical properties of prominent rice (Oryza sativa L.) cultivars of India were studied at different stem positions using a factorial CRD design. The effects of changes in different operational parameters, including blade bevel angle (15°, 20°, and 25°), cutting angle (25°, 30°, and 35°) and cutting velocity (2.9, 3.44, and 4.1 m s−1) on cutting force and cutting energy of rice stalk were also studied. … Show more

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Cited by 1 publication
(4 citation statements)
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References 103 publications
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“…Shivashimpar et al. (2023) developed a smart device for on‐field cutting energy measurement of cereal crops. In this study, physical, engineering, and anatomical properties on six prominent rice ( Oryza sativa L.) cultivars (PB‐1509, PB‐44, Jaya, Swarna, PB‐1121, and BPT‐5204) of India were evaluated.…”
Section: Resultsmentioning
confidence: 99%
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“…Shivashimpar et al. (2023) developed a smart device for on‐field cutting energy measurement of cereal crops. In this study, physical, engineering, and anatomical properties on six prominent rice ( Oryza sativa L.) cultivars (PB‐1509, PB‐44, Jaya, Swarna, PB‐1121, and BPT‐5204) of India were evaluated.…”
Section: Resultsmentioning
confidence: 99%
“…Useful approaches should involve multiple practices, adapt to different sites, and respond to farmers and community requirements. The research articles published in the special section “Agricultural and biological sciences: Plant, soil, animal and environment” address actual topics for agriculture and biology, covering smart technologies, bioinformatics, sensors in agriculture, rhizosphere microbiomes, mycorrhizal fungus and nano potassium fertilizer, IAHP, FCE, soil management, water efficiency, plastic‐film mulching technology, crop breeding, direct seeding, fruit growing management, and multi‐sensor data (C. Chen et al., 2022; X. Chen et al., 2023; Chen & Shen, 2023; C. Guo, Yuan et al., 2023; Li et al., 2022; Liu et al., 2023; Mohammadpur et al., 2023; Qi et al., 2023; Shivashimpar et al., 2023; Yu et al., 2022; Zhang et al., 2023).…”
Section: Discussionmentioning
confidence: 99%
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