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.
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:Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology Interventional Pulmonology (middletown, de.)
In order to improve the working efficiency of the horizontal-roller cotton stalk pulling device, and reduce the cotton stalk leakage rate and breakage rate during the operation of the machine, the design was optimized. The device is mainly composed of the stalk conveying device and the stalk pulling device. Based on the analysis of cotton stalk conveying and pulling process, we know that there are three working parameters that affect the pulling effect of the horizontal-roller cotton stalk pulling device: the forward speed, the belt wheel speed, the rotational speed of the pulling roller. The three-factor, three-level orthogonal experiment was carried out. The results showed that the better working parameters combination were obtained as follows: the forward speed was 2.8 km /h, the belt wheel speed was 209 r/min, the rotational speed of pulling roller was 239 r/min, and a validation test was conducted on the optimal operation parameter combination. The validation test results showed that the cotton stalk leakage rate was 6.24% and the cotton stalk breakage rate was 3.94%. The research results provide a theoretical basis for the design and optimization of the cotton stalk pulling device.
In view of the mechanized plant protection wilt prevention and control problem, DJI 8 rotor UAV, 3WX-2000G stretcher sprayer 2 planting sand melon field spray test, comparison analyzed the influence of different application technology and tools on the droplet deposition distribution law, for the pest control requirements and application technology of plant protection tools. The test results show that the plant protection UAV pharmaceutical operation, due to the rotor airflow disturbance, the leaves in the sand melon, stretcher spray on the front of the blade has more droplet deposition, the back of the front deposition becomes less, thus increasing the effect of the wind field on the back of the blade. In terms of fog droplet density and coverage, there is no obvious difference in the UAV spray droplet density before and after the addition of additives, mainly because the crop leaves are hydrophilic, and in the hydrophilic crops, the addition of wet spreading agent when the spray has no obvious effect on its spray deposition effect. From the size of the fog droplets deposited on the water-sensitive paper, the stretcher sprayer on the front of the blade is significantly larger than that of the drone, while the difference on the back of the blade is smaller. The fog droplet density and coverage of plant protection UAV are less than the vehicle stretcher motorized sprayer, but the average droplet density on the front of the blade is 18 / cm2 and 14 / cm2, which is effective fog droplet density; adopt ST10001 nozzle, flight altitude of 3.5m and obtain optimal deposition distribution at flight speed of 3 m/s.
During the last two decades, multimedia created the challenge to maintain the sensitive data on cloud especially a digital image. Traditional techniques of encryption, such as AES, RSA and DES are closely fitted to text while compared to the image. While outsourcing the digital image to cloud, cloud vendors have an access control to keep our data secure. It may be possible to share the data to unauthorized user for their own profit. To overcome these issues and to protect images on cloud, we propose a single technique (iPrivacy-SEET by VIFF- iPrivacy-Single and Efficient Encryption Technique by Various Image File Format) which is applied to different image format to ensure the image security/privacy. It keeps the metadata in the client system itself. The procedure of SEET is achieved by three phases such as Split by chunks, Distribute by pattern and Scramble by PRP (pseudo random permutation by chaos). It has around 50% reduction of encryption time while compared to standard AES. The proposed work is implemented in Python language. The various experiments are conducted with different format of images like JPEG, BMP, PNG, TIFF and GIFF to prove the system performance and image privacy.
The study investigated the hyperspectral reflectance responses to changes in the moisture content of potato tubers in a time series generated during oven drying. 17 chemometric preprocessing methods were used to eliminate the impact of spectrum noise on the spectral feature curve. The CatBoost, LightGBM, XGBoost, and other algorithms were used to obtain the effective feature spectra for hyperspectral images. Water content prediction models were derived by using selected feature spectra and the results indicated that the combined model based on the Lasso and XGBoost algorithms had the greatest prediction ability with the highest R2 value of 0.8908.
The present investigation in sunflower (Helianthus annuus L.) was carried out to gather information on gene action and combining ability effects of parents, their hybrids, genotype x environment interaction and stability parameters for various phenological, agronomic/morphological traits and oil content. The experimental material comprised diverse CMS lines and testers crossed in Line x Tester design (4 x 10) to obtain 40 F1s. Hence parents, hybrids and 2 checks were grown during kharif, 2015 at two locations i.e. Udaipur (Rajasthan State) and Latur (Maharashtra State) while during rabi, 2015-16 at Latur only thereby evaluating in three environments following recommended package and practices. The heterosis for seed yield/ plant ranged between -30.41 to 36.63 %. The high specific combiner crosses recorded moderate level of heterosis, heterobeltiosis and economic heterosis. CMS 234A X RHA 138-2, CMS 234A x EC 601957, ARM 249A x EC 623023, CMS 234A x R 16 and ARM 249 x RHA 138-2 could be adjudged as the best heterotic crosses for yield and its component traits viz. head diameter, Seed filling percentage, volume weight and 100-seed weight where as CMS 234A X RHA 138-2, ARM 249A x EC 623023, CMS 234A x R 16 for yield, oil content and hull content. These crosses also manifested high per se performance, good GCA effects of at least one parent and significant SCA effects.