scholarly journals Detection and Analysis of Degree of Maize Lodging Using UAV-RGB Image Multi-Feature Factors and Various Classification Methods

2021 ◽  
Vol 10 (5) ◽  
pp. 309
Author(s):  
Zixu Wang ◽  
Chenwei Nie ◽  
Hongwu Wang ◽  
Yong Ao ◽  
Xiuliang Jin ◽  
...  
Keyword(s):  
Crop Production ◽  
Accurate Determination ◽  
Management Strategies ◽  
Canopy Structure ◽  
Object Oriented ◽  
Texture Features ◽  
Sowing Date ◽  
Kappa Coefficient ◽  
Surface Model ◽  
Field Management

Maize (Zea mays L.), one of the most important agricultural crops in the world, which can be devastated by lodging, which can strike maize during its growing season. Maize lodging affects not only the yield but also the quality of its kernels. The identification of lodging is helpful to evaluate losses due to natural disasters, to screen lodging-resistant crop varieties, and to optimize field-management strategies. The accurate detection of crop lodging is inseparable from the accurate determination of the degree of lodging, which helps improve field management in the crop-production process. An approach was developed that fuses supervised and object-oriented classifications on spectrum, texture, and canopy structure data to determine the degree of lodging with high precision. The results showed that, combined with the original image, the change of the digital surface model, and texture features, the overall accuracy of the object-oriented classification method using random forest classifier was the best, which was 86.96% (kappa coefficient was 0.79). The best pixel-level supervised classification of the degree of maize lodging was 78.26% (kappa coefficient was 0.6). Based on the spatial distribution of degree of lodging as a function of crop variety, sowing date, densities, and different nitrogen treatments, this work determines how feature factors affect the degree of lodging. These results allow us to rapidly determine the degree of lodging of field maize, determine the optimal sowing date, optimal density and optimal fertilization method in field production.

scholarly journals Crop height determination with UAS point clouds

2014 ◽  
Vol XL-1 ◽  
pp. 135-140 ◽  
Author(s):  
G. J. Grenzdörffer
Keyword(s):  
Crop Production ◽  
Accurate Determination ◽  
Digital Terrain Model ◽  
Point Clouds ◽  
Surface Model ◽  
Crop Height ◽  
Height Determination ◽  
3D Point Clouds ◽  
The Difference

The accurate determination of the height of agricultural crops helps to predict yield, biomass etc. These relationships are of great importance not only for crop production but also in grassland management, because the available biomass and food quality are valuable information. However there is no cost efficient and automatic system for the determination of the crop height available. 3D-point clouds generated from high resolution UAS imagery offer a new alternative. Two different approaches for crop height determination are presented. The "difference method" were the canopy height is determined by taking the difference between a current UAS-surface model and an existing digital terrain model (DTM) is the most suited and most accurate method. In situ measurements, vegetation indices and yield observations correlate well with the determined UAS crop heights.

scholarly journals Community seed network in an era of climate change: dynamics of maize diversity in Yucatán, Mexico

2021 ◽  
Author(s):  
Marianna Fenzi ◽  
Paul Rogé ◽  
Angel Cruz-Estrada ◽  
John Tuxill ◽  
Devra Jarvis
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Management Strategies ◽  
Farming Systems ◽  
Seed Systems ◽  
Farming Community ◽  
Climate Resilience ◽  
Maize Diversity ◽  
Climatic Period ◽  
Small Holder Farmers

AbstractLocal seed systems remain the fundamental source of seeds for many crops in developing countries. Climate resilience for small holder farmers continues to depend largely on locally available seeds of traditional crop varieties. High rainfall events can have as significant an impact on crop production as increased temperatures and drought. This article analyzes the dynamics of maize diversity over 3 years in a farming community of Yucatán state, Mexico, where elevated levels of precipitation forced farmers in 2012 to reduce maize diversity in their plots. We study how farmers maintained their agroecosystem resilience through seed networks, examining the drivers influencing maize diversity and seed provisioning in the year preceding and following the 2012 climatic disturbance (2011–2013). We found that, under these challenging circumstances, farmers focused their efforts on their most reliable landraces, disregarding hybrids. We show that farmers were able to recover and restore the diversity usually cultivated in the community in the year following the critical climate event. The maize dynamic assessed in this study demonstrates the importance of community level conservation of crop diversity. Understanding farmer management strategies of agrobiodiversity, especially during a challenging climatic period, is necessary to promote a more tailored response to climate change in traditional farming systems.

scholarly journals Some integrative management strategies to decrease doses of herbicides in agriculture

2017 ◽  
Vol 2 ◽  
pp. 31
Author(s):  
Salar Farhangi Abriz
Keyword(s):  
Water Quality ◽  
Food Safety ◽  
Nitrogen Content ◽  
Crop Production ◽  
Management Strategies ◽  
Agricultural Products ◽  
Main Target ◽  
Physicochemical Methods ◽  
Management Method ◽  
Integrative Management

<p>Over dose using of herbicides is one of the major problems in crops and horticulture productions. Human food safety and economical production of agricultural products are the main target of new agronomy and plant scientists. Integrative management is one of the new programs for reducing herbicide doses in agriculture. This program includes many physiological and physicochemical methods for controlling herbicide uses in farms and orchards. This article explain some of these methods such as using surfactants, water quality in spraying, using magnetic fields, controlling the nitrogen content of soil, using a suitable formulation and powerful cultivars and genotypes in agriculture and the effects of this reduction in herbicide doses on plants behavior and weeds controlling. According to this method integrative management can be beneficial in crop production and farmers must be using of this management method in their farms. </p>

scholarly journals Agronomic research in Martonvásár, aimed at promoting the efficiency of field crop production

2012 ◽  
pp. 89-93
Author(s):  
Tamás Árendás ◽  
Zoltán Berzsenyi ◽  
Péter Bónis
Keyword(s):  
Regression Analysis ◽  
Grain Yield ◽  
Durum Wheat ◽  
Crop Production ◽  
Plant Protection ◽  
Sowing Date ◽  
Forest Residues ◽  
Sowing Dates ◽  
Significant Difference ◽  
Long Term Experiment

The effect of crop production factors on the grain yield was analysed on the basis of three-factorial experiments laid out in a split-split-plot design. In the case of maize the studies were made as part of a long-term experiment set up in 1980 on chernozem soil with forest residues, well supplied with N and very well with PK. The effects of five N levels in the main plots and four sowing dates in the subplots were compared in terms of the performance of four medium early hybrids (FAO 200). In the technological adaptation experiments carried out with durum wheat, the N supplies were moderate (2010) or good (2011), while the P and K supplies were good or very good in both years. Six N top-dressing treatments were applied in the main plots and five plant protection treatments in the subplots to test the responses of three varieties. The results were evaluated using analysis of variance, while correlations between the variables were detected using regression analysis.The effect of the tested factors on the grain yield was significant in the three-factorial maize experiment despite the annual fluctuations, reflected in extremely variable environmental means. During the given period the effect of N fertilisation surpassed that of the sowing date and the genotype. Regression analysis on the N responses for various sowing dates showed that maize sown in the middle 10 days of April gave the highest yield, but the N rates required to achieve maximum values declined as sowing was delayed. In the very wet year, the yield of durum wheat was influenced to the greatest extent by the plant protection treatments, while N supplies and the choice of variety were of approximately the same importance.  In the favourable year the yielding ability was determined by topdressing and the importance of plant protection dropped to half,  while no  significant difference could be detected between the tested varieties. According to the results of regression analysis, the positive effect of plant protection could not be substituted by an increase in the N rate in either year. The achievement of higher yields was only possible by a joint intensification of plant protection and N fertilisation. Nevertheless, the use of more efficient chemicals led to a slightly, though not significantly, higher yield, with a lower N requirement. 

scholarly journals Uses of different techniques for the production of sustainable soil and food

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Sahrish Khan ◽  
Abdul Waris
Keyword(s):  
Adverse Effect ◽  
Disease Management ◽  
Soil Fertility ◽  
Crop Production ◽  
Soil Structure ◽  
Low Cost ◽  
New Technology ◽  
Management Strategies ◽  
Soil Condition ◽  
Plant Disease Management

Due to increase in the population which is estimated that the human papulation will increased 9.7 billion in 2050. There is also increase the demands of the food productions. That’s why there is need to solve the problems regarding to the production of the food. Major problem of the food production is the shortage of the land due to the low and bad soil structure and quality of the soil. Soil erosion is one of the main issue which is caused  due to the used of different chemicals, pesticides and fertilizers which are mainly used for the  plant growth and protection but they are the main reasons of the production of the pollution in the soil. There is need of the different new technology for the improvement of the soil structure, quality, its fertility and decontamination of pollution from the soil which are eco-friendly to the environment and have no adverse effect. In this study the role of the different techniques in which genetic engineering, Nano technologies, soil and crop management strategies, integrated pest control management strategies, sustainable remediation techniques, microbial management strategies and the different management stairgates. All these techniques aim to the production of the plants and microbes which are effective against plant disease management. The aim of the use nano agrochemicals and nano sensors for sensing environmental and pathogen conditions against disease management. The aim of the paper to provide the production of the disease resistance plant and the provide balanced nutrients supplements to the soil for the improvement of the soil condition and its fertility. These techniques have economic importance due to the use of the nano agrochemicals which are low cost and have effective and reduce the use of the chemicals substances which have negative effect on the  soil fertility.. There are sustainable remediations techniques also discussed which are used for the decontamination of the soil pollution. In this study the main focus on the improve and increase soil fertility which enhance the growth of the plants as well the production of the crop production. The production of the stress and degradation resistance microbes which is important factor for the protection of the soil from degradation or contamination. All the techniques which are used in this paper have no adverse effect they are helpful in the tolerance of the stress conditions.

scholarly journals Impacts and management strategies for crop production in waterlogged or flooded soils: A review

2020 ◽  
Vol 112 (3) ◽  
pp. 1475-1501 ◽  
Author(s):  
Gurpreet Kaur ◽  
Gurbir Singh ◽  
Peter P. Motavalli ◽  
Kelly A. Nelson ◽  
John M. Orlowski ◽  
...  
Keyword(s):  
Crop Production ◽  
Management Strategies ◽  
Flooded Soils

scholarly journals Using Multispectral Drone Imagery for Spatially Explicit Modeling of Wave Attenuation through a Salt Marsh Meadow

Drones ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 25
Author(s):  
Antoine Mury ◽  
Antoine Collin ◽  
Thomas Houet ◽  
Emilien Alvarez-Vanhard ◽  
Dorothée James
Keyword(s):  
Salt Marsh ◽  
Salt Marshes ◽  
Crop Production ◽  
Vegetation Index ◽  
Near Infrared ◽  
Wave Attenuation ◽  
Coefficient Of Determination ◽  
Coastal Protection ◽  
Surface Model ◽  
Red Edge

Offering remarkable biodiversity, coastal salt marshes also provide a wide variety of ecosystem services: cultural services (leisure, tourist amenities), supply services (crop production, pastoralism) and regulation services including carbon sequestration and natural protection against coastal erosion and inundation. The consideration of this coastal protection ecosystem service takes part in a renewed vision of coastal risk management and especially marine flooding, with an emerging focus on “nature-based solutions.” Through this work, using remote-sensing methods, we propose a novel drone-based spatial modeling methodology of the salt marsh hydrodynamic attenuation at very high spatial resolution (VHSR). This indirect modeling is based on in situ measurements of significant wave heights (Hm0) that constitute the ground truth, as well as spectral and topographical predictors from VHSR multispectral drone imagery. By using simple and multiple linear regressions, we identify the contribution of predictors, taken individually, and jointly. The best individual drone-based predictor is the green waveband. Dealing with the addition of individual predictors to the red-green-blue (RGB) model, the highest gain is observed with the red edge waveband, followed by the near-infrared, then the digital surface model. The best full combination is the RGB enhanced by the red edge and the normalized difference vegetation index (coefficient of determination (R2): 0.85, root mean square error (RMSE): 0.20%/m).

scholarly journals Risk Management Strategies to Reduce Net Income Variability for Farmers

1985 ◽  
Vol 17 (1) ◽  
pp. 117-130 ◽  
Author(s):  
Hamid Falatoonzadeh ◽  
J. Richard Conner ◽  
Rulon D. Pope
Keyword(s):  
Risk Management ◽  
Crop Production ◽  
Management Strategies ◽  
Farm Income ◽  
Net Income ◽  
Combination Strategy ◽  
Management Tools ◽  
Risk Management Strategies ◽  
Price Risks ◽  
The Many

AbstractThe most useful and practical strategy available for reducing variability of net farm income is ascertained. Of the many risk management tools presently available, five of the most commonly used are simultaneously incorporated in an empirically tested model. Quadratic programming provides the basis for decisionmaking in risk management wherein expected utility is assumed to be a function of the mean and variance of net income. Results demonstrate that farmers can reduce production and price risks when a combination strategy including a diversified crop production plan and participation in the futures market and the Federal Crop Insurance Program (FCIP) is implemented.

scholarly journals Weeds and Their Effect on the Performance of Maize and Finger Millet in Mid-Hills of Nepal

2014 ◽  
Vol 2 (3) ◽  
pp. 275-278 ◽  
Author(s):  
Tika Bahadur Karki ◽  
Shrawan K. Sah ◽  
Resam B. Thapa ◽  
Andrew J. McDonald ◽  
Adam S. Davis ◽  
...  
Keyword(s):  
Weed Management ◽  
Crop Production ◽  
Finger Millet ◽  
Crop Yields ◽  
Management Strategies ◽  
Cropping System ◽  
Weed Species ◽  
Ageratum Conyzoides ◽  
Alternative Crop ◽  
Weed Infestation

Relay cropping of maize with fingermillet (maize/fingermillet) is the predominant cropping system for sustaining food security situation in the hilly regions of Nepal. In this region weed pressure severely reduces crop yields. Basic information on weed species composition, biomass production and their effect on crop yields and economics are lacking for this region. This information will be necessary to develop effective weed management strategies for the future. In light of this an empirical study was carried out in two representatives mid hill districts of Parbat and Baglung during summer season of 2010/2011 in Nepal. A total of 10 major weed species with densities of 172 in Parbat and 311 per 0.25m2 area in Baglung were observed. The highest percentage of both relative and absolute densities were recorded for Ageratum conyzoides in Parbat and Polygonum chinensis in Baglung. Weed infestation under farmers practice of crop management reduced the grain yield of maize by 1.985 Mt ha-1 (117%) in Baglung and 1.760 Mt ha-1 (108%) in Parbat. Similarly, in finger millet it was 0.489 Mt ha-1 (63%) in Baglung and 0.403 Mt ha-1 in Parbat. Similarly, the combined yield of both the crops was also significantly reduced by 79.3% and 61.7% in Baglung and Parbat respectively. Hence, weeds are directly affecting the crop performance in the region. Therefore, there is an urgent need to develop an alternative crop production system in the hills. DOI: http://dx.doi.org/10.3126/ijasbt.v2i3.10790Int J Appl Sci Biotechnol, Vol. 2(3): 275-278  

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