scholarly journals Two-Dimensional Simulation of Barley Growth and Yield Using a Model Integrated with Remote-Controlled Aerial Imagery

2020 ◽  
Vol 12 (22) ◽  
pp. 3766
Author(s):  
Ashifur Rahman Shawon ◽  
Jonghan Ko ◽  
Seungtaek Jeong ◽  
Taehwan Shin ◽  
Kyung Do Lee ◽  
...  
Keyword(s):  
Remote Sensing ◽  
South Korea ◽  
Field Experiments ◽  
Growth Conditions ◽  
Crop Model ◽  
Growth And Yield ◽  
Crop Modeling ◽  
Ground Truth Data ◽  
Significant Difference ◽  
National University

It is important to be able to predict the yield and monitor the growth conditions of crops in the field to increase productivity. One way to assess field-based geospatial crop productivity is by integrating a crop model with a remote-controlled aerial system (RAS). The objective of this study was to simulate spatiotemporal barley growth and yield based on the development of a crop-modeling system integrated with RAS-based remote sensing images. We performed field experiments to obtain ground truth data and RAS images of crop growth conditions and yields at Chonnam National University (CNU), Gwangju, South Korea in 2018, and at Gyeongsang National University (GNU), Jinju, South Gyeongsang, South Korea in 2018 and 2019. In model calibration, there was no significant difference (p = 0.12) between the simulated barley yields and measured yields, based on a two-sample t-test at CNU in 2018. In model validation, there was no significant difference between simulated yields and measured yields at p = 0.98 and 0.76, according to two-sample t-tests at GNU in 2018 and 2019, respectively. The remote sensing-integrated crop model accurately reproduced geospatial variations in barley yield and growth variables. The results demonstrate that the crop modeling approach is useful for monitoring at-field barley conditions.

scholarly journals Simulation of Wheat Productivity Using a Model Integrated With Proximal and Remotely Controlled Aerial Sensing Information

2021 ◽  
Vol 12 ◽  
Author(s):  
Taehwan Shin ◽  
Jonghan Ko ◽  
Seungtaek Jeong ◽  
Ashifur Rahman Shawon ◽  
Kyung Do Lee ◽  
...  
Keyword(s):  
Field Experiments ◽  
Management Practice ◽  
Wheat Yield ◽  
Growth And Yield ◽  
Crop Modeling ◽  
Proximal Sensing ◽  
Wheat Growth ◽  
Ground Truth Data ◽  
Study Objective ◽  
National University

A crop model incorporating proximal sensing images from a remote-controlled aerial system (RAS) can serve as an enhanced alternative for monitoring field-based geospatial crop productivity. This study aimed to investigate wheat productivity for different cultivars and various nitrogen application regimes and determine the best management practice scenario. We simulated spatiotemporal wheat growth and yield by integrating RAS-based sensing images with a crop-modeling system to achieve the study objective. We conducted field experiments and proximal sensing campaigns to acquire the ground truth data and RAS images of wheat growth conditions and yields. These experiments were performed at Gyeongsang National University (GNU), Jinju, South Gyeongsang province, Republic of Korea (ROK), in 2018 and 2019 and at Chonnam National University (CNU), Gwangju, ROK, in 2018. During the calibration at GNU in 2018, the wheat yields simulated by the modeling system were in agreement with the corresponding measured yields without significant differences (p = 0.27–0.91), according to two-sample t-tests. Furthermore, the yields simulated via this approach were in agreement with the measured yields at CNU in 2018 and at GNU in 2019 without significant differences (p = 0.28–0.86), as evidenced by two-sample t-tests; this proved the validity of the proposed modeling system. This system, when integrated with remotely sensed images, could also accurately reproduce the geospatial variations in wheat yield and growth variables. Given the results of this study, we believe that the proposed crop-modeling approach is applicable for the practical monitoring of wheat growth and productivity at the field level.

scholarly journals Weed infestation and productivity of maize/soybean intercrop as influenced by cropping patterns in the southern Guinea savanna of Nigeria

2018 ◽  
Vol 63 (1) ◽  
pp. 11-26
Author(s):  
Emmanuel Imoloame ◽  
Kafayat Ahmed
Keyword(s):  
Field Experiments ◽  
Block Design ◽  
Growth And Yield ◽  
State University ◽  
Economic Returns ◽  
Cropping Patterns ◽  
Guinea Savanna ◽  
Significant Difference ◽  
Weed Infestation ◽  
Cropping Seasons

Field experiments were conducted during the 2015 and 2016 cropping seasons at the Teaching and Research (T & R) Farm of the College of Agriculture, Kwara State University, Malete, to determine the effect of cropping patterns on weed infestation, growth and yield of a maize/soybean intercrop in the southern Guinea savanna of Nigeria. The experiments consisted of six treatments as follows: one row of maize alternated with one row of soybean (1:1), one row of maize alternated with two rows of soybean (1:2), two rows of maize alternated with one row of soybean (2:1), two rows of maize alternated with two rows of soybean (2:2), sole maize (1:0) and sole soybean (0:1). The treatments were laid out in a randomized complete block design with three replicates. Data collected were subjected to analysis of variance and means were separated by the least significant difference (LSD) at the 5% level of probability. Results showed that sole soybean consistently suppressed weeds and resulted in a higher yield. Similarly, the 2:1 ratio of maize to soybean did not only reduce weed density, it produced significantly higher yields of maize and lower yield of soybean, and had the higher land equivalent ratio and economic returns followed by sole maize.

scholarly journals Impacts of Microbial Inoculants on the Growth and Yield of Maize Plant

2019 ◽  
Vol 13 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Elizabeth T. Alori ◽  
Olubukola O. Babalola ◽  
Claire Prigent-Combaret
Keyword(s):  
Root Length ◽  
Field Experiments ◽  
The Other ◽  
Growth And Yield ◽  
Soil Types ◽  
Great Promise ◽  
Root Weight ◽  
Microbial Inoculants ◽  
Maize Genotypes ◽  
Significant Difference

Background:The use of microbial inoculants holds a great promise to improve crop yield without the negative environmental and health hazard associated with chemical fertilizer.Aim:To investigate ifPseudomonasspp. (Pseudomonas kilonensisF113 andPseudomonas protegensCHA0 strains) have promoting effects on vegetative growth and yield of different maize genotypes (viz. AFLATOXIN SYN 4W, TZB-SR, AFLATOXIN R SYN 2Y, AFLATOXIN SYN 3W and AFLATOXIN SYN-2Y) under different soil types.Methods:Both pot and field experiments were employed. Bacterialized seeds were sown (2 seeds/pot/stand).Results:Pot experiment showed that both the bacterial species significantly stimulated the growth of maize shoot length, stem girth, leaf length, root length and root weight. The effect of genotypes AFLATOXIN SYN 4W, TZB-SR, AFLATOXIN R SYN 2Y and AFLATOXIN SYN 3W are not significantly different from one another but AFLATOXIN SYN-2Y showed a significantly lower increase in the measured parameters. No significant difference was observed according to soil types. AFLATOXIN SYN 4W showed a significantly higher root weight while AFLATOXIN R SYN 2Y showed a significantly higher root length compared to the other maize genotypes. Moreover,Pseudomonassignificantly increased maize growth and yield under field experiment. AFLATOXIN R SYN 2Y and AFLATOXIN SYN 4W showed a significantly higher yield than the other maize genotypes studied.Conclusion:We concluded thatPseudomonas kilogenensisF113 andPseudomonas protegensCHA0 are potential biofertilizers.

Integrating remote sensing information with crop model to monitor wheat growth and yield based on simulation zone partitioning

2017 ◽  
Vol 19 (1) ◽  
pp. 55-78 ◽  
Author(s):  
Caili Guo ◽  
Ling Zhang ◽  
Xiang Zhou ◽  
Yan Zhu ◽  
Weixing Cao ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Crop Model ◽  
Growth And Yield ◽  
Wheat Growth

scholarly journals Assessment of a Proximal Sensing-integrated Crop Model for Simulation of Soybean Growth and Yield

2020 ◽  
Vol 12 (3) ◽  
pp. 410 ◽  
Author(s):  
Ashifur Rahman Shawon ◽  
Jonghan Ko ◽  
Bokeun Ha ◽  
Seungtaek Jeong ◽  
Dong Kwan Kim ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Leaf Area ◽  
Crop Model ◽  
Growth And Yield ◽  
Light Extinction ◽  
Model Assessment ◽  
Proximal Sensing ◽  
Area Index ◽  
Sensing Data ◽  
Study Results

A remote sensing-integrated crop model (RSCM) able to simulate crop growth processes using proximal or remote sensing data was formulated for simulation of soybean through estimating parameters required for modelling. The RSCM-soybean was then evaluated for its capability of simulating leaf area index (LAI), above-ground dry mass (AGDM), and yield, utilising the proximally sensed data integration into the modelling procedure. Field experiments were performed at two sites, one in 2017 and 2018 at Chonnam National University, Gwangju, and the other in 2017 at Jonnam Agricultural Research and Extension Services in Naju, Chonnam province, South Korea. The estimated parameters of radiation use efficiency, light extinction coefficient, and specific leaf area were 1.65 g MJ−1, 0.71, and 0.017 m2 g−1, respectively. Simulated LAI and AGDM values agreed with the measured values with significant model efficiencies in both calibration and validation, meaning that the proximal sensing data were effectively integrated into the crop model. The RSCM reproduced soybean yields in significant agreement with the measured yields in the model assessment. The study results demonstrate that the well-calibrated RSCM-soybean scheme can reproduce soybean growth and yield using simple input requirement and proximal sensing data. RSCM-soybean is easy to use and applicable to various soybean monitoring projects.

scholarly journals Impact of Gibberellic Acid (GA3) on Growth, Yield and Nodulation on Two Accessions of Cowpea (Vigna unguiculata (L.) Walp)

2021 ◽  
Vol 25 (8) ◽  
pp. 1435-1439
Author(s):  
B.P. Mshelmbula ◽  
E. Ogale ◽  
S. Bello ◽  
H.A. Kana ◽  
M.Y. Sulayman ◽  
...  
Keyword(s):  
Vigna Unguiculata ◽  
Field Experiments ◽  
Root Nodules ◽  
Growth Yield ◽  
Botanical Garden ◽  
Sub Saharan Africa ◽  
Growth And Yield ◽  
Significant Difference ◽  
Gibberelic Acid ◽  
The Impact

Cowpea (Vigna unguiculata) is one of the most ancient crops known to man and is grown across various climatic zones, most commonly in the dry savanna regions of sub-Saharan Africa. The objective of this work was therefore to investigate the impact of Gibberelic acid on the growth and yield of cowpea. Field experiments was conducted during the 2019 rainy season at the Botanical Garden of Federal University of Lafia. The cowpea accessions were submerged into various concentrations of GA3 (90mg/L, 120mg/L, and 150mg/L). The results showed varying response of the accessions in varying GA3 concentrations. Both Accessions (TVU-1 and TVU-4) recorded no significant difference across all treatments in the number of flowers. In TVU-1 accession, the least concentration, 90mg/L recorded the highest number of flowers (0.22) at 12(WAP); while in TVU-4, the seeds exposed to the highest concentration recorded the highest number of flowers. Similar result was observed in the number of pods of both accessions (TVU-1 and TVU-4) were there was no significant difference (P≤0.5) recorded. There was increase in the number of root nodules with increased in the growth hormone concentrations as treatment 150mg/L showed the highest number of root nodules in both accessions; even though no significant difference was recorded. It is therefore recommended that different accessions at different concentrations of gibberelic acid be tired to see their responses.

scholarly journals Effect of Different Sowing Dates and Varieties on Growth and Yield of Lentil (Lens Culinaris Medikus) in the Highland Vertisols of North Shewa, Ethiopia

2018 ◽  
Vol 5 (2) ◽  
pp. 117-122
Author(s):  
Mebrate Tamrat Woldeselassie ◽  
Daniel Admasu
Keyword(s):  
Grain Yield ◽  
Field Experiments ◽  
Agricultural Research ◽  
Sowing Date ◽  
Growth And Yield ◽  
Soil Types ◽  
Grain Yields ◽  
Local Variety ◽  
Sowing Dates ◽  
Significant Difference

Field experiments were carried out to study the response of two lentil varieties to varying sowing dates in a split plot design with three replications, in which varieties were assigned to main plots and sowing dates to sub plots. The study was conducted at Enewari research site of Debre Birhan agricultural research center for three consecutive years (2007 - 2009) on two soil types. The results showed that no significant difference between varieties for grain yield. However, variety Alemaya produced highest grain yields of 1.3 t/ha and 1.22 t/ha from fifth (30-July) sowing date on heavy and relatively light Vertisols respectively. On the other hand, the local variety produced highest grain yields of 1.4 t/ha and 1.06 t/ha on the fifth and six sowing dates on heavy and relatively light Vertisols respectively. Grain yield proportionally increased with increasing biological yield in different sowing dates on both soil types. On heavy Vertisol varieties responded differently to the changes of sowing dates. Variety Alemaya had responded to a wider sowing dates. Early August to mid-August sowing found to be optimum for local variety. On light Vertisol, the functional relationship was unexplained for both varieties. In general, heavy Vertisol gave higher responses than relatively light vertisol throughout most parameters and levels tested.  

scholarly journals The Role of Sprayer`s Characteristics and Foliar Spraying for Improving the Maize Growth and Yield

2020 ◽  
Vol 33 (2) ◽  
pp. 182-195
Author(s):  
Majid H. Alheidary ◽  
Madyan S, Al-shaheen ◽  
Sundus A. Al abdullah
Keyword(s):  
Field Experiments ◽  
Block Design ◽  
Growth And Yield ◽  
City Centre ◽  
Hollow Cone ◽  
Maize Growth ◽  
Randomized Block Design ◽  
Significant Difference ◽  
Iron And Zinc ◽  
Knapsack Sprayer

: The field experiment was performed during the autumn growing season 2019 in Al Khyoot village of the Qurna town which is located at 75 km northern Basrah city centre. For improving the maize growth and yield, the effect of foliar spraying with iron and zinc and the most important technological characteristics of the knapsack sprayer such as nozzle types was studied. Three nozzle types were investigated as standard Flat fan nozzle, Hollow cone nozzle, and Tip nozzle (as reference nozzle in this study). Three foliar concentrations (0, Zn30 + Fe100 and Fe100+ Zn30) as well as a 16- litre capacity of the knapsack sprayer were used for fertilizer spraying experiments. All field experiments were carried out using the complete randomized block design (RCBD) with three replications. The results of the statistical analysis showed that there was a significant effect of the nozzle type and foliar spraying on the plant growth and yield characteristics as plant height, stem diameter, number of leaves, leaf area, number of grains, and yields (152.39 cm, 1.88 cm, 13.98, 4559 cm2, 376.51 and 5.51 Mg ha-1 respectively). Also, these characteristics showed an increase percentage as following (2.79%, 2.25%, 0.60%, 3.11%, 3.70%, and 1.73% respectively) when the hollow cone nozzle was used compared to the reference nozzle. In addition, an interaction between the studied factors also appeared a significant difference in the grain number and yield characteristics.

scholarly journals EXPLORING DIFFERENT FERTILIZER COMBINATIONS FOR POTATO GROWTH AND YIELD IN RAWALPINDI REGION OF PAKISTAN

2018 ◽  
Vol 3 (3) ◽  
pp. 227
Author(s):  
Kouser M. Malik ◽  
Shahid Y. Naz ◽  
Shahzada M. Mehdi ◽  
Asia Munir ◽  
Ahmad Khan ◽  
...  
Keyword(s):  
Dry Matter ◽  
Management Practices ◽  
Field Experiments ◽  
Solanum Tuberosum L ◽  
Potato Crop ◽  
Block Design ◽  
Potato Yield ◽  
Growth And Yield ◽  
Significant Difference ◽  
Four Levels

Potato (Solanum tuberosum L.) is one of the most important tuber crops produced in Pakistan. Due to its nutritive importance, it ranks as fourth after rice, wheat and maize in the world. However, production of the crop is far below the average due to poor crop stand, soil fertility and water management practices. There is a strong need for improvement in the fair yield of potato through managed production techniques and best soil nutrient combinations. To find out the best combination of fertilizer level of NPK on growth, yield and quality of the potato crop, nine field experiments on potato crop were conducted at Rawalpindi division, Punjab Pakistan for three successive Rabi seasons during 2014-2017. Treatments consisted of four levels of N (244, 300, 356 and 412 Kg N ha-1), P (163, 200, 237 and 275 kg P ha-1) and K (136, 167, 198 and 229 Kg K ha-1) laid out in Randomized Complete Block Design (RCBD) with three replications. Results showed that there was no significant difference of location in terms of yield (T ha-1). However, mean data showed that the fertilizer combinations significantly (<0.05) affected yield and yield components of the potato crop. Among the treatments, NPK level (412, 275 and 229 Kg ha-1) gave maximum (100 tuber m-2), potato yield (3.2 Kg m-2), dry matter (1.3 Kg m-2), while the least number of tuber m-2 (63), potato yield m-2 (2.02 Kg), dry matter yield m-2 (0.9 Kg) were recorded where combination NPK (244, 163and 136 Kg ha-1) were applied. From the results, it can be concluded that farming community can obtain the maximum potato yield by adopting NPK (412, 275, 229) levels of fertilizers

scholarly journals Effect of variety, seed rate and row spacing on the growth and yield of rice in Bauchi, Nigeria

2013 ◽  
Vol 13 (59) ◽  
pp. 8155-8166
Author(s):  
AA Garba ◽  
◽  
BA Mahmoud ◽  
Y Adamu ◽  
U Ibrahim ◽  
...  
Keyword(s):  
Field Experiments ◽  
Grain Weight ◽  
Growth And Yield ◽  
Row Spacing ◽  
Seeding Rate ◽  
Significant Difference ◽  
Split Plot ◽  
Spike Number ◽  
1000 Grain Weight ◽  
Number Of Seeds

Field experiments were conducted at Abubakar Tafawa Balewa University, Fadama Farm Bauchi, during the rainy seasons of 2006 and 2007 to study the effects of variety, seeding rate and row spacing on growth and yield of rice. Two varieties of rice; Ex – China (Indigenous and upland/lowland) and NERICA-1 (improved and upland), three seeding rates (32, 54 and 75 kg/ha) and four row spacings (15, 20, 25 and broadcast) were used during the study. The treatments were combined and laid in a split – split plot design with three replications. Variety was placed in the main plot, seeding rate in the sub plot while row spacing was placed in sub –sub plot. Data were collected on parameters such as plant height, number of tillers per plant, spikes per hill, spikelets per spike and number of seeds per spike, seed weight per hill, 1000 grain weight and yield kg ha-1 and analyzed using analysis of variance procedure for split – split plot and significant differences among the treatment means were separated using the Duncan multiple range test (DMRT). Variety Ex-China produced significantly (P<0.05) higher numbers of tillers per plant and spikes per hill. However, NERICA-1 produced significantly (P<0.05) higher numbers of spikelets per spike, seeds per spike, weight of seed per spike, weight of seed per hill, 1000 grain weight and yield in kg ha-1 than Ex-China. Row spacings of 15, 20 and 25cm also had significant effects on the number of tillers per plant, number of spikes per hill, number of spikelets per spike, number of seeds per spike, weight of seed per spike, weight of seed per hill, 1000 grain weight and yield kg ha-1 over the control. From the factors studied, seeding rate did not show any significant difference during the two years of investigation. Interactions were also observed among the factors studied. Therefore, row spacings irrespective of the method used, or hole planting of rice could be more appropriate for optimum grain yield.

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