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. 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 Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) Zhonghua yi shi za zhi (Beijing, China : 1980)
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:
Studies were conducted on Subhash Palekar Natural Farming (SPNF) [formerly known as Zero Budget Natural Farming (ZBNF)] practised at 72 ha farm of Gurukul Kurukshetra, Haryana, India. Soil samples at different times were collected and got analyzed from different premier institutes of India. The results revealed that there was significant enrichment of soils in terms of Organic Carbon (OC), available phosphorus, available potash, micronutrients and biological health with the adoption of ZBNF practices. The average OC in the soil samples collected from Gurukul farm in May 2017 and analysed at CCS Haryana Agricultural University (HAU), Hisar was 0.61% in which 19% soil samples were found rich in OC (>0.75%). After one year of cropping, it was observed that 95% soil samples were rich in OC with average OC value of 0.91% in the range of 0.82-1.12%. The results obtained in the analysis of the samples collected in October 2018 and May 2019 confirmed the earlier findings. Similar trend was observed in the analytical results of soil samples from other institutes. The impact on soil OC was more pronounced in rice-wheat system than in other cropping systems. There was 89, 32 and 179 % increase in mean values of available P in the soil samples collected in May 2018, October 2018 and May 2019, respectively, over that recorded in the soil samples collected in May 2017 and analysed at CCSHAU Hisar. Likewise, mean available K increased by 7, 17 and 66% in the samples collected at the respective time of sampling. The extent of increase in micronutrients was 32, 27, 31 and 114% in Zinc, Iron, Copper and Manganese, respectively, after one year of cropping from May 2017 to May 2018. Similar results on micronutrients were obtained in the soil samples analysed at Punjab Agricultural University (PAU) Ludhiana. The microbiological studies indicated that there was 528 times more colony forming units of bacteria per gram of soil in the soil samples of Gurukul farm as compared to that recorded in the soils of farmers’ fields practising chemical farming. Maximum microbial count in Jeevamrit (a liquid ZBNF formulation) was recorded on 12th day after its preparation. A multifold increase in microbial count with the addition of jaggery and pulse flour and their combined synergistic effect in Jeevamrit was also observed. Amendment of Jeevamrit with bio-inoculant, Azotobactor increased total microbial count by 2.66 times over Jeevamrit alone, whereas, addition of Azospirillum and Rhizobium in Jeevamrit failed to enhance microbial enrichment over Jeevamrit and Jeevamrit plus Azotobactor combination. Addition of soil (as innoculam in Jeevamrit) increased microbial count by about 105 times. Use of pre-made Jeevamrit as inoculum for further preparation of Jeevamrit could not emulate in terms of microbial count as compared to the Jeevamrit containing all the primary constituents. Total microbial count in the dung of native cow breeds was 363 and 25 times more than in the dung of buffalo and native breed of bull. The crop yields obtained at Gurukul Farm were highly comparable to the level achieved by the farmers. Average yields of non-scented high yielding cultivars of rice (including hybrids) were 74.45 q/ha in the range of 70-83 q/ha. Average wheat yields of Bansi, a desi (indigenous) variety, was 32.30 q/ha. Production of sugarcane achieved a level of 1300 q/ha with average cane yields of 850-1100 q/ha during the previous years. In vegetables, average tuber yield of potato ranged between 250-300 q/ha. The net returns from rice and wheat crops were 1.45 to 2.71 times higher than that of farmers produce.
With the prime motto of doubling farmer’s income by 2022 via production of high value crops and diversification of crops, fruit production is being encouraged to a large extent in India. Fruits being rich in nutrients and high value returns from fruits proved as a viable solution in stabilizing and raising the farm income and increasing the employment opportunities. The present study was an attempt to analyze the recent scenario of fruit production and export performance from India along with the export competitiveness of major important fruits exported from India. Revealed comparative advantage ratio was used to analyze the export competitiveness of major fruits exported from India. The area and production of fresh fruits changes over the years. During 2017-18, area under fruits was 65.06 lakh hectares and production was 973.58 lakh metric tonnes. The study revealed that exports of total fruits from India increased with the increase in production of fruits since 2010. Andhra Pradesh (13.88 percent) and Maharashtra (11.45 percent) served as the leading states in terms of production of total fruits during 2015-18. Among all the fruits, fresh grapes (38.67 per cent) and fresh mangoes (7.78 per cent) followed by banana (7.10 per cent) contributed highest share in total fruit exports by value from India during 2017-18. Revealed comparative advantage ratio for all the considered fruits was less than one except fresh grapes and the group of mangoes, mangostene and guava during the study period which signified that country must make efforts to integrate production, storage, marketing and processing of different fruits to get maximum export earnings.
In order to accurately diagnose the potassium content status of apple leaves in each growth period, a diagnostic model for potassium deficiency in apple leaves based on shape and color combination feature is constructed. Firstly, a series of image preprocessing work such as image denoising, leaf segmentation, etc. are carried out on leaf image samples in each growth period. Secondly, 9 color characteristics and 10 shape characteristics of a leaf are extracted by digital image processing technology, and the data dimension reduction and optimization are carried out through linear discriminant analysis method to obtain the key shape and color combination feature factors of apple tree leaves in each growth period; then, the established LDA-SVM, LDA-RF and LAD-KNN models are compared with the accuracy of potassium deficiency diagnosis of apple leaves at different periods to obtain the best diagnostic model for each growth period. Finally, the best diagnostic model is used for field experiments, and the generalization ability and robustness of the model are verified by the results. The test results show that the diagnostic accuracy of the model reaches an average of more than 93.6% in the whole growth cycle, which can accurately diagnose the potassium content of apple leaves in each growth period, and provide methods and ideas for the intelligent management of orchards and supplementary fertilizer application information.
Twenty–three genotypes of Indian mustard [Brassica juncea (L.) Czern. and Coss.] were examined in irrigated conditions. The analysis of variance (ANOVA) was performed on 14 quantitative traits. Genetic variability showed that, the PCV was comparatively higher than GCV for all the characters studied and variation was majorly due to the effect of environment. Days to 50% flowering, number of primary branches per plant, length of main raceme, number of siliquae per plant, number of seeds per siliquae, biological yield per plant, test weight, and harvest index all showed high heritability along with high GA. Number of siliquae per plant showed positive and significant correlation with seed yield per plant. 23 genotypes were grouped into 7 clusters based on D2 values using Tocher’s method. Out of total 7 clusters, cluster I contains 12 genotypes forming the largest cluster followed by cluster IV, cluster II containing 4 and 3 genotypes respectively and the remaining clusters had one genotype in each.
India is the second largest producer of rice in world after China. Rice-rice cropping system is followed in eastern parts of India due to heavy rainfall and low land conditions. Efficient nutrient management is much important in rice cultivation. But, after long-term intensive cultivation of rice with traditional methods and imbalanced fertilizer application imparted a less sustainable system for future generation. So, we examined the various nutrient management strategies under a long-term fertilizer experiment with 4 replications and 11 treatments. The results demonstrated integrated nutrient management of organic manure and chemical fertilizer is a key element for maintaining rice yield and to keep the soil processes alive. 225.51 % biological yield advantage under farmyard manure (FYM) treated plots, respectively). Among the treatments, sulphur and boron uptake were observed highest in respective application plots and farmyard manure application plots (50% higher than 100%NPK). Similarly, internal utilization efficiency, agronomic efficiency, physiological efficiency, and recovery efficiency were observed highest under FYM treated plots. Sulphur uptake was 75.42% higher under NPK+FYM+Lime compared to control and NPK plots. Boron uptake was higher in 100%NPK+B+Zn by 50% compared to 100% NPK plots. Organic manure application along with NPK improved yield attributing characters viz., the plants per hill, tillers per plant, grains per panicle, and plant vigour compared to sole application of NPK. NPK+FYM and NPK+FYM+Lime plots showed the most effective management strategy among the treatments.