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 Kongzhi yu Juece/Control and Decision 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:
Solanum melongena is one of the most popular vegetables of India and found to be affected by several insect pests which attribute to the low productivity of brinjal. The populations of insect pests and natural enemies on brinjal were surveyed during 2020-21 for studying their succession. The experiments were carried out in a Randomized Block Design (RBD). It was found that the Aleurodicus dispersus, Paracoccus marginatus, Amrasca biguttula biguttula, Aphis gossypii and Leucinodes orbonalis were found to be dominant and abundant in the brinjal ecosystem. Moderate infestation was found during rainy season but heavy infestation was observed from November to January, 2021. The bio pesticide Verticillium lecani, Metarhizium anisopliae and Beauveria bassiana were applied on brinjal grown in fields which later was found to be effective and can prevent the population buildup of insect pest of brinjal ecosystem.
Water scarcity is a major problem of less productivity and decline of citrus orchards in almost all region of the world. Drip/trickle irrigation is a recently suggested water saving technique in rainfed agriculture. The present studies emphasized the need to maintain the adequate moisture in the root zone of orchard through micro-irrigation system at proper irrigation scheduling and will improve the micro climate of the orchard ecosystem and drip irrigation seems to be only hope for raising the orchards under depleting water resources. Application of hydrogel with black polyethylene mulch significantly affecting the yield of ‘Kinnow’ mandarin (Citrus reticulate Blanco) plants in rainfed areas. The drip trickle irrigation 3 and 6 day intervals water supply along with different dose of hydrogel viz. 30, 60, 90 and 120 g of soil application with black polyethylene mulch in relation to water and nutrient composition of leaves and soil along with growth, yield and quality attributes of the plants. The higher plant growth with maximum fruit yield (0.0119-0.0102 t ha-1) was recorded with 3 days intervals water supply by drip trickle irrigation and 90 g hydrogel with black polyethylene mulch plants treatments. The analysis of plant leaf lower concentration nutrients (N, P, K, Ca and Mg) revealed that control treatments. The relative leaf water content (RLWC), leaf water concentration (LWC), total chlorophyll (TC) and Leaf area (LA) showed an increasing trend under two year experimentation. Fruit quality, attributes and Juice content (JC), Total soluble solids (TSS) and ascorbic acid (AA) revealed an increasing trend whereas Titratable acidity (TA) was reverse trend with application of treatments. Overall, these results reveal that 3 days drip/ trickle irrigation intervals and 90 g hydrogel with black polyethylene mulch could enact necessary water stress on ‘Kinnow’ mandarin plants of subtropical ecosystem improving their water productivity and fruit yield in water infrequent condition.
Firmness can be used as one of the important indexes to indicate the ripeness of apple, usually determined by acoustic signal detection nondestructively, for the high correlation between acoustic signal features and firmness. In this paper, acoustic signal features with high time correlation are selected as the independent variable of the model. The acoustic signal and quality of apple were measured, and then 32 time-dependent signal features were selected by MATLAB analysis data, and the firmness of apple was predicted by ridge regression model. Using this method, the accuracy of training set and verification set is 84.7and 82.4% respectively. The actual change of apple is consistent with the prediction trend. Because of its more characteristics and more accurate model, this method has better fault tolerance for data, reduces the environmental requirements for acoustic signal detection, and paves the way for the firmness prediction of other apple varieties.
Soil-site suitability assessment for crops forms an important component in land use planning of a watershed. The current study was carried out to evaluate the soil site suitability for major field and horticultural crops in flood prone Moridhal watershed in Dhemaji district of Assam of North East India. The study area was delineated using satellite data of Resourcet-2, LISS-4 in conjunction with Survey of India toposheets (1: 50,000) and, thereby, four physiographic units were delineated which include: upper piedmont plain, lower piedmont plain, alluvial plain and flood plain. Soil samples were collected from the various physiographic units of the study area and soil-site suitability for major field and horticultural crops were determined by comparing different land qualities along with climatic parameters following the criteria outlined by various authors. The study revealed that the soils were permanently unsuitable (N1) to moderately suitable (S2) for sali rice (winter rice), wheat, pea, mustard/rapeseed, sesame, potato, tomato, onion and coconut. The assessment of the soils of Moridhal watershed for soil site suitability divulged various limitations related to soil and climatic parameters. Major constraints identified in the watershed were high acidity, low organic carbon, coarse texture, excessive flooding, impeded drainage and low precipitation in early growth stage during Rabi season. However, some of these limitations related to soil fertility and acidity could be managed by adopting integrated soil fertility management practices. The soil site suitability index values of different crops were employed in a series of logical operations in GIS platform to generate soil-site suitability map. Such GIS based thematic and soil suitability maps could serve as ready reckoner for farmers, administrators and planners for better utilization of agricultural areas.
To study the feasibility of CROPGRO_cotton model in the optimization of cotton irrigation management under different climatic conditions, the empirical values corresponding to 25%, 50% and 75% of the empirical frequencies of precipitation were obtained by ranking the frequency fitness line of precipitation data during 20 years of cotton fertility at the experimental site, and then the years corresponding to three empirical frequencies were selected as typical years: 2015 (abundant water year), 2001 (flat water year), and 2006 (dry water year). By combining cotton fertility stages, irrigation frequency and irrigation amount, 21 irrigation regimes (T1~T21) were identified and simulated using the calibrated DSSAT model for cotton irrigation regimes under the three precipitation year types, and the results showed that under the best combination of irrigation usage, yield and water utilization, 2015 (abundant water year), 2001 (flat water year), and T20 irrigation management should be selected in 2006 (dry water year).Under the three typical years, the effect of temperature change on cotton yield and water utilization was investigated, and it was found that the increase of temperature would reduce cotton yield and water utilization, but a reasonable irrigation management would reduce the negative effect of climate change on cotton yield and water utilization, According to the simulation results under different situations, T20 irrigation management can minimize the yield variation range under temperature change, and has a high water utilization rate, which has good applicability.