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WOS Indexed (2024)
AMA, Agricultural Mechanization in Asia, Africa and Latin America
AMA, Agricultural Mechanization in Asia, Africa and Latin America (AMA) (issn: 00845841) is a peer reviewed journal first published online after indexing scopus in 1982. AMA is published by Farm Machinery Industrial Research Corp and Shin-Norinsha Co. AMA publishes every subjects of general engineering and agricultural engineering. Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption Fa yi xue za zhi
25 Apr 2024 (Vol - 55 , Issue- 04 )
30 Apr 2024 (Vol - 55 , Issue 04 )
Aim and Scope :
AMA, Agricultural Mechanization in Asia, Africa and Latin America
AMA, Agricultural Mechanization in Asia, Africa and Latin America (ISSN: 00845841) is a peer-reviewed journal. The journal covers Agricultural and Biological Sciences and all sort of engineering topic. the journal's scopes are in the following fields but not limited to:
Agricultural and Biological Sciences
Electrical Engineering and Telecommunication
Electronic Engineering
Computer Science & Engineering
Civil and architectural engineering
Mechanical and Materials Engineering
Transportation Engineering
Industrial Engineering
Industrial and Commercial Design
Information Engineering
Chemical Engineering
Food Engineering
A Novel Aerial Object Detection Technique Using Deep Learning Method
Object detection in aerial images dataset is a challenging concept because of its dynamic behavior. This proposed work provides a novel way of aerial image detection in high spatial resolution aerial picture land-use/cover mapping using a method that is introduced to deal with the unique properties of aerial photographs, such as frequency domain content variability. Patch detection and description, in particular, are devised to partition and describe diverse sub-regions of objects made up of many homogenous components. In the present work we have proposed the VGG16 and its output is further feed to the Faster RCNN which makes the proposed model a novel work. Furthermore, the proposed bag of feature representation is built using statistics learned from the training dataset about the occurrence of the learning set of the image dataset. The analyses of several patch descriptors show that a mixture of spectral and textural characteristics is a good choice. In addition, to limit the impact of outliers on categorization in test data, a threshold-based technique is used. Experiments with data from aerial images are simulated and results are obtained using MATLAB 2021R software then the results are contrasted with the methods currently in use. The proposed method outperforms the existing work.
Pest Succession and documentation of insect pests and natural enemies fauna in maize ecosystem post- fall armyworm, Spodoptera frugiperda (JE Smith) infestation
Maize fall armyworm, Spodoptera frugiperda is a growing concern in major maize growing regions of the country. Since the invasion of the pest in August 2018, there seems to be a shift in the pest and natural enemy succession in maize crop. While stem borers occupied the central whorls during pre-FAW scenario, fall armyworm tend to occupy the central whorl since invasion of the latter. Following fall armyworm infestation there was a dearth of natural enemy population initially. But as time progressed, associated natural enemies including parasitoids (Telenomus remus, Chelonus sp., Trathala sp., etc.) and predators (carabids, staphylinids, etc.) have gained entry into maize ecosystems in large numbers aiding considerable natural suppression of the pest. A total of 24 insect species including six sucking insects, four defoliators and 12 natural enemies were recorded besides two scavengers. About 15.1 per cent natural parasitism of eggs by Telenomus remus was recorded besides higher numbers of Chelonus sp. during early stages of crop growth (25 – 35 days). Initial natural predation and parasitism are considered as positive signs of increasing natural biosuppression and calls for reduced insecticidal sprays during early crop growth period.
Influence of Cultivation Practices and Varieties on Productivity and Profitability of Wheat-Rice Cropping System
A field experiment was carried out at Research Farm of Department of Agronomy and Rice and Wheat Research Centre (RWRC) Malan, Himachal Pradesh, India to study the “Influence of cultivation practices and varieties on productivity and profitability of wheat-rice cropping system”. Four tillage methods viz., reduced tillage, zero tillage, conventional tillage, and natural farming were applied to three varieties each of rice (HPR 1156 (Sukara Dhan 1), HPR 2656 (Him Palam Dhan 1) and HPR 2795 (Him Palam Lal Dhan 1)) and wheat (HPW 349, HPW 368, and HS 562) during winter 2019-20 to rainy 2021. The experiment was conducted in split-plot design. The experimental results revealed that conventional tillage resulted in a higher system equivalent yield of 8.15 t ha-1 and 8.19 t ha-1 at Palampur, and 8.54 t ha-1 and 8.37 t ha-1 at Malan during both years whereas among varieties, V3 (HS 562 fb Him Palam Lal Dhan 1) varieties of rice and wheat, resulted in a higher system equivalent yield during both years and at both locations, respectively. Higher values of economic indicators were recorded in conventional tillage among cultivation practices while lower values of economic indicators were recorded in natural farming treatment during both the years and in both the crops. Among the varieties, V3 (HS 562 fb Him Palam Lal Dhan 1) varieties of wheat and rice recorded higher values of economic indicators in rice-wheat system at both locations and during both years. Conclusively, for higher system productivity and profitability from the wheat-rice system, conventional tillage along with V3 (HS 562 fb Him Palam Lal Dhan 1) varieties must be adopted.
Phenotypic stability of seed characteristics of fine grain Rice (Oryza sativa (L).) variety ADT53 is influenced by source-sink imbalances
Phenotypic stability by expression of varietal characteristics is highly influenced by nutrient imbalances caused by deficiencies of macro and micro nutrients. In Fine grain rice varieties, within one hill of the crop, tillers were showing morph types viz., long slender, bold type and tall tillers with elongated stems. Foliar sprays of macro and micro nutrients in seed production of short duration variety; ADT53 was formulated based on reduction in appearance of physiological off types, long slender, short bold and tall plant types. Soil application of NPK and Zinc, as per the recommended dosage (100:50:50 NPK, Zinc sulphate 25 kg/ha) showed 147 bold types (1.6%), 37 long slender grain types (0.4%), tall plant types 16 (0.2%) which were above the permissible levels. Four rounds of foliar applications to supplement the micro and macro nutrients on 15th, 25th, 45th, 60th DAP did not reduce the bold grain types (0.2%). Rescheduling of Nitrogen, Phosphorous and Potassium as 40: 0:75 kg/ ha combined with foliar sprays (15, 25, 45, 60th DAP) reduced the bold grain types to 0.06% by arresting tillers formation beyond active vegetative phase. The foliar spray treatments were repeated during Kharif-2022, and showed 0.05% and 0.04 % of off types (Long slender and bold) respectively. Processed seed yield increase was observed in the modified nutrients application procedure as 5641.7 kg/ha over the control 3966.7 kg/ha (42.2% seed yield increase). This report showed that balanced application of major and micro nutrients are essential for complete expression of varietal characteristics which are highly influenced by hidden hunger due to imbalances of nutrients viz., Nitrogen, Potassium, phosphorous, zinc and iron.
Impact of Drying Technology on the Aloe Vera Gel (Aloe vera barbadensis)
The experiment was carried out at Department of Renewable Energy Engineering, College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology, Udaipur to study drying of aloe vera gel (Aloe vera barbadensis miller) in solar cabinet dryer. In the present investigation, aloe vera dried in solar cabinet dryer and compared with open sun drying method. Results showed that moisture content, average drying rate in aloe vera gel as 98.45 per cent (wb) to 8.82 per cent (wb) and 1.47, 1.34 and 1.19 g/100g dm/ h to 3.96, 2.7 and 2 g/100g dm/ h in solar cabinet dryer and in open sun, respectively. The moisture diffusivity varied in the range of 1.59×109m²/s to 1.54×109 m2/s in open sun drying and 1.88×109 m2/s to 2.56×109 m2/s in solar cabinet drying of aloe vera samples. Among the twelve thin layer drying model, best-ranked model applicable to the variation of moisture ratio with drying time of aloe vera samples in open sun drying were two-term model whereas in cabinet drying was diffusion approach model.