scholarly journals Studies on the Growth Control and the Nutritional Diagnosis in Rice Plants : I. The nutritional diagnosis based on the leaf color and the estimation of the number of spikelets per unit area

1980 ◽  
Vol 49 (3) ◽  
pp. 439-455 ◽  
Author(s):  
Akio MATSUZAKI ◽  
Kunio KARIYA ◽  
Hiroyasu MACHIDA ◽  
Kosei TSUNODA
Keyword(s):  
Unit Area ◽  
Growth Control ◽  
Leaf Color ◽  
Rice Plants

scholarly journals Whole-Genome Resequencing and Transcriptomic Analysis to Identify Genes Involved in Leaf-Color Diversity in Ornamental Rice Plants

PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0124071 ◽  
Author(s):  
Chang-Kug Kim ◽  
Young-Joo Seol ◽  
Younhee Shin ◽  
Hye-Min Lim ◽  
Gang-Seob Lee ◽  
...  
Keyword(s):  
Transcriptomic Analysis ◽  
Whole Genome ◽  
Leaf Color ◽  
Genome Resequencing ◽  
Rice Plants ◽  
Whole Genome Resequencing

scholarly journals Non-photochemical Quenching Plays a Key Role in Light Acclimation of Rice Plants Differing in Leaf Color

2017 ◽  
Vol 7 ◽  
Author(s):  
Xia Zhao ◽  
Tingting Chen ◽  
Baohua Feng ◽  
Caixia Zhang ◽  
Shaobing Peng ◽  
...  
Keyword(s):  
Light Acclimation ◽  
Photochemical Quenching ◽  
Leaf Color ◽  
Rice Plants ◽  
Non Photochemical Quenching

Smartphone-based detection of leaf color levels in rice plants

2020 ◽  
Vol 173 ◽  
pp. 105431 ◽  
Author(s):  
Ming Tao ◽  
Xu Ma ◽  
Xunan Huang ◽  
Chuang Liu ◽  
Ruoling Deng ◽  
...  
Keyword(s):  
Leaf Color ◽  
Rice Plants

scholarly journals Nitrogen Deficiency Mobile Application for Rice Plant through Image Processing Techniques

2019 ◽  
Vol 8 (6) ◽  
pp. 2950-2955
Keyword(s):  
Image Processing ◽  
Mobile Application ◽  
Nitrogen Deficiency ◽  
Assistive Technologies ◽  
Blue Color ◽  
Leaf Color ◽  
Image Processing Techniques ◽  
Rice Plants ◽  
Digital Devices ◽  
Processing Techniques

Driven by the opportunity that digital devices and robust information are readily available, the development and application of new techniques and tools in agriculture are challenging and rewarding processes. This includes techniques learned that is based on traditional methods, practices, experiences, environmental patterns and human capability. The most sought technique comes from human intelligence that is dynamic, adaptive and robust. Nitrogen deficiency in rice plants can be determined via the color of the leaves. It is dependent on the depth of the green pigment in the color spectrum present in the leaves. Based on these characteristics, the application of computational artificial intelligence and machine vision can be adopted to create assistive technologies for agriculture. In this paper, a mobile application is developed and implemented that can be used to assist rice farmers determine nitrogen deficiency, through the leaf color in rice plants. The application can be used alternatively or together with the traditional protocol of nitrogen fertilizer management. It is mobile, simple and it also addresses some drawbacks of the human eye to distinguish color depths brought about by other factors, like sunlight, shading, humidity, temperature, etc. It utilizes image processing techniques to digitally captured images represented in numerically transformed Red, Green, and Blue color formats. The digital images are then normalized to remove the effects of illumination and then compared using the image/pixel subtraction technique with the base color images converted and extracted from the leaf color chart standard. Eventually, the application determines nitrogen deficiency and suggests the concentration and volume of fertilizer to be applied to the rice plants. Accuracy of the technique is determined by computing the Z statistic score.

scholarly journals Studies on the growth control and the nutritional diagnosis in rice plants. III. Growth diagnosis at the stage of spikelet initiation for nitrogen top dressing.

1982 ◽  
Vol 51 (3) ◽  
pp. 325-331 ◽  
Author(s):  
Akio MATSUZAKI ◽  
Kunio KARIYA ◽  
Hiroyasu MACHIDA ◽  
Kosei TSUNODA ◽  
Yoshikazu NISHIKAWA
Keyword(s):  
Growth Control ◽  
Rice Plants

scholarly journals ĐIỀU TRA THỰC TRẠNG SỬ DỤNG VÀ ĐÁNH GIÁ ẢNH HƯỞNG CỦA PACLOBUTRAZOL ĐẾN SINH TRƯỞNG VÀ NĂNG SUẤT GIỐNG LÚA IR 50404

2020 ◽  
Vol 4 (2) ◽  
pp. 1907-1914
Author(s):  
Nguyễn Văn Chương
Keyword(s):  
Unit Area ◽  
Rice Yield ◽  
Block Design ◽  
Fertilizer Application ◽  
Lodging Resistance ◽  
Rice Plants ◽  
Randomized Complete Block Design ◽  
Long Time ◽  
Rice Seeds ◽  
Two Stages

Chống đổ ngã và tăng số lượng chồi cho cây lúa là cách mà nông dân sử dụng Paclobutrazol (PBZ) lâu nay. Đề tài được thực hiện với các mục tiêu: (i) điều tra sử dụng PBZ của nông dân trên cây lúa, (ii) đánh giá mức độ tồn dư PBZ trong đất (iii) đánh giá hấp thụ PBZ từ đất vào trong cây lúa.Thí nghiệm được bố trí theo phương pháp khối hoàn toàn ngẫu nhiên gồm bốn nghiệm thức (T1: Đối chứng: 0 kg PBZ  ha-1, T2: 1,0 kg PBZ  ha-1, T3: 1,5 kg PBZ ha-1, T4: 3,0 kg PBZ ha-1) với bốn lần lặp lại. Kết quả điều tra nông dân đã sử dụng PBZ, kết hợp với phân bón để bón vào hai giai đoạn lúa 20 đến 25 ngày sau sạ (NSS) và 40 đến 45 NSS, với liều lượng trung bình 1,55 kg ha-1. Xử lý PBZ ở nghiệm thức T2 và T3 giúp giảm chiều cao cây lúa, tăng số chồi trên đơn vị diện tích nhưng không làm tăng năng suất lúa. Các nghiệm thức xử lý đều để lại tồn lưu PBZ trên thân (T1: 60 µg, T2: 2.220 µg, T3: 1.090 µg, T4: 34 µg) và trên hạt lúa (T1: 104 µg, T2: 550 µg, T3: 110 µg, T4: 0 µg) và trong đất sau thí nghiệm (T1: 16,3 µg, T2: 24,0 µg, T3: 9,90 µg, T4: 6,60 µg). ABSTRACT Lodging resistance and increasing the quantity of tillers for rice are that Paclobutrazol (PBZ) has been used by farmers for a long time. The study was conducted to aim at: (i) investigating farmers' habits of using Paclobutrazole on rice, (2) evaluating PBZ residues in soil and (3) evaluating PBZ absorption ability from soil into rice. The experiment was conducted in randomized complete block design (RCBD) with four treatments (T1: 1,5 kg PBZ / ha, T2: 3,0 kg PBZ/ ha, T3: 1,0 kg PBZ /ha, T4: 0 kg PBZ /ha) and four replications. The investigated results of farmers showed that PBZ has been used for a long time, PBZ was used by farmers in combination with fertilizer application into two stages of 20 to 25 days after seeding (DAS) and 40 to 45 DAS (63,3 %), an average dosage was 1,55kg/ ha. The results showed that T2 and T3 treatments were effective to reduce the height of rice plants, increase the number of shoots per unit area but did not increase rice yield. PBZ treatments  had residue in leaf stalks (T1: 60 µg, T2: 2.220 µg, T3: 1.090 µg, T4: 34 µg), rice seeds (T1: 104 µg, T2: 550 µg, T3: 110 µg, T4: 0 µg), and soil after harvesting rice (T1: 16,3 µg, T2: 24,0 µg, T3: 9,90 µg, T4: 6,60 µg).

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