Plant growth stage and leaf part to diagnose sweet corn nitrogen status using chlorophyll sensor and scanner image analysis

Milagres, Carla do Carmo; Fontes, Paulo Cézar Rezende; Abreu, July Anne Amaral de; Silva, José Maria da; Figueiredo, Mairon Neves de

doi:10.1080/01904167.2021.1921197

Cited by 3 publications

(2 citation statements)

References 32 publications

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“…Kegiatan estimasi kandungan nitrogen dan klorofil pada tanaman kopi robusta juga menggunakan perangkat ImageJ dalam ektrasi data gambar dari kamera digital komersial (Putra & Sony 2017;Putra & Sony 2018). Pada tanaman jagung penggunaan klorofil meter (SPAD) dan data gambar untuk mengetahui ketersediaan nitrogen tanaman menggunakan data RGB yang diekstrak melalui perangkat ImageJ juga telah dilakukan oleh Milagres et al, (2021).…”

Section: Pemanfaatan Image-j Untuk Ekstraksi Data Gambarunclassified

Review: Teknologi Simple Phenotyping sebagai Database Pengembangan Robot Pendeteksi dan Pemupuk Nitrogen Padi

Syafii

Rozik²,

Torimania³

et al. 2021

Rekayasa

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Rice is one of the most important staple food consumed by more than half of the world population, especially in Indonesia where majority of the people consumed rice as daily intake. Precision agriculture is needed to boost production to meet the demand. As limiting factor for plant growth, huge doses of nitrogen fertilizer are deployed, in fact the absorbtion rate of plant was only about 50%. Developing vision-control based robot for fertilizing plant need proper database so that false positive and negative could be avoided. Several previous methods that were available to assest nitrogen status in plant such as a color chart, spectrometer, SPAD-502, and kjedahl. Plant phenotyping is often used for plant breeding, but also very useful in determining nutrient status in plants. Cheap and simple phenotyping using digital camera followed by extracting data through open source platform such as ImageJ can be very useful to generate data for building the database. Here we presented the current progress on plant phenotyping for nitrogen assessment in plant as well as an ImageJ in phenomic era. We also highlight some robotic progress especially vision-based robot, who rely on proper imaging data for their training.

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Section: Pemanfaatan Image-j Untuk Ekstraksi Data Gambarunclassified

Review: Teknologi Simple Phenotyping sebagai Database Pengembangan Robot Pendeteksi dan Pemupuk Nitrogen Padi

Syafii

Rozik²,

Torimania³

et al. 2021

Rekayasa

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“…TMF 3% 처리구는 인삼 전용상토 처리구 보다 지상부인 초 장, 엽장, 엽폭의 생육이 좋았으나 SPAD 값은 낮은 수치를 보였다 (P < 0.05). 이러한 결과는 새싹인삼의 성장 및 발달 로 인하여 SPAD 값이 감소한 것으로 판단되었다(Kim et al, 2020b;Milagres et al, 2021). 반면에 지하부인 근장, 근중은 TMF 3% 처리구와 인삼 전용상토 처리구에서 차이가 없었다.…”

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Effects of Tenebrio molitor (Mealworm) Frass on the Growth of Ginseng Sprout (Panax ginseng) in Commercial Potting Soil

Kim

Bea

Park

et al. 2023

Korean J. Soil. Sci. Fert.

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The forecasted growth of edible insect production will generate high quantities of manure. Agricultural application of Tenebrio molitor frass (TMF) may improve soil fertility and increases crop production. This study was conducted to determine an optimum application rate of TMF for ginseng sprout growth in commercial potting soil. Ginseng was seeded in commercial potting soil (control), TMF 3% + perlite 30% + cocopeat 67% (TMF 3%), TMF 5% + perlite 30% + cocopeat 65% (TMF 5%), and TMF 10% + perlite 30% + cocopeat 60% (TMF 10%). The results showed that the germination rate of ginseng in the TMF 3% treatment was significantly higher than those in the other treatments. In addition, plant height, leaf length, leaf width, root length, and root weight of ginseng sprout showed significantly higher in TMF 3% treatment, leading to a lower SPAD value due to nitrogen dilution compared to those of control and TMF 5%. Our findings suggest that application of TMF at 3% is suitable for production of ginseng sprout in commercial potting soil.

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Low-rank-constraint-based machine vision algorithm for chaffer-sieve-clogging recognition of corn harvester

Zhao

Chen

et al. 2022

Computers and Electronics in Agriculture

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Plant growth stage and leaf part to diagnose sweet corn nitrogen status using chlorophyll sensor and scanner image analysis

Cited by 3 publications

References 32 publications

Review: Teknologi Simple Phenotyping sebagai Database Pengembangan Robot Pendeteksi dan Pemupuk Nitrogen Padi

Review: Teknologi Simple Phenotyping sebagai Database Pengembangan Robot Pendeteksi dan Pemupuk Nitrogen Padi

Effects of Tenebrio molitor (Mealworm) Frass on the Growth of Ginseng Sprout (Panax ginseng) in Commercial Potting Soil

Low-rank-constraint-based machine vision algorithm for chaffer-sieve-clogging recognition of corn harvester

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