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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
18 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
Varietal screening of chickpea (Cicer arietinum L.) genotypes against gram pod borer under field environment condition
Chickpea is a valued food in terms of nutrition for an expanding world population. Wide range of insect pests and diseases leads to heavy losses in Chickpea Crop. It is infested by eleven insect pest species. Among these pests, the pod borer, Helicoverpa armigera (Hubner) (Lepidoptera) is the most deteriorating insect pest causing great losses in most of the chickpea growing areas of the world. It potentially causes serious damage to all plant parts at different growth stages which lead to devastating losses in yield up to 50 per cent or even more due to its incidence. Numerous control actions are taken in order to control this pest which predominantly includes the use chemical insecticides irrationally. The Indiscriminative use of Chemicals as a means of plant protection for such a long spell of time leads to numerous hostile effects that includes insecticidal resistance, environmental pollution, sudden outbreak and resurgence of pest, and also detrimental hazards to human life. To avoid such serious predicament, there is a very sincere need of promoting and enhancing the utilization of non-chemical measures as a core part of the pest control system, in view of which, continuous research efforts are needed to be focused on Development, promotion and enhancing the use of resistant plant material so as to overcome some serious issues emerging as a result of using chemical insecticides and thereby.
ARTIFICIAL INTELLIGENCE IN AGRICULTURE
Global population is expected to reach more than 9 billion by 2050 which will require an increase in agricultural production by 70% to fulfil the demand. Only about 105 of this increased production may come from the availability of unused lands and the rest of 90% should be fulfilled by intensification of current production. In this context use of the latest technological solutions to make farming more efficient, remains one of the greatest necessities. In the future, a farmer’s skills will increasingly be a mix of technology and biological skills rather than pure agricultural. The importance of Artificial Intelligence (AI) in agriculture can be applied cross-disciplinarity and it can also bring a revolution in the farming trend than what we are seeing today. AI-powered solutions will not only enable farmers to do more with less, but they will also improve quality and ensure a faster go-to-market for crops.
Diversity Assessment of Seedling Origin Guava (Psidium guajava L.)
Diversity among seedling origin guava population growing in sub-tropical region of Jammu was assessed during the year 2017-18. Highest value of range was recorded as 165.34 for the character number of seeds per fruit followed by 90.47 for fruit weight, 88.47 for pulp percentage and 86.49 for fruit volume with mean values of 226.33, 142.7 g, 97.96 per cent and 146.9 cc respectively. Phenotypic coefficient of variation was higher than genotypic coefficient of variation for all the characters. Heritability values for different characters ranged between 37.14 to 81.14per cent. High heritability coupled with high genetic gain was recorded for tree volume, trunk girth, 100 seed weight, total soluble solids, acidity, ascorbic acid, and yield indicating additive gene action controlling these characters. On the basis of cluster analysis 70 genotypes were grouped into five clusters showing 124.71 to 185.20 inter-cluster and 274.40 to 834.74 intra-cluster distance. The clustering pattern also indicated that geographical diversity was not an essential factor for clustering of genotypes from a particular place into a specific cluster. Different characters contributed to a different extent towards total variability. Seed weight per fruit, Tree volume, pulp weight, non-reducing sugars, 100 seed weight, number of seeds per fruit and fruit weight were the major contributors towards total variation which contributed 37.55 per cent, 26.12 per cent, 12.80 per cent, 10.22 per cent, 5.25 per cent, 3.72 per cent and 3.14 per cent towards total variation in the population.
Influence of Irrigation Schedule and Inorganic Amendments Through Fertigation on Nutrients Uptake and Soil Fertility of Mandarin (Citrus reticulata Blanco.) cv. Nagpur Mandarin
The field experiment entitled “Effect of Irrigation Schedule and Fertigation Level on Nutrient Uptake and Soil Fertility of Mandarin (Citrus reticulate Blanco.) cv. Nagpur Mandarin" was conducted by deploying 10 treatments in RBD with four replication covering 160 plants in all during two successive years commencing from March 2019 to February 2021 at the Instructional Farm, Department of Fruit Science, College of Horticulture and Forestry, Jhalawar, Rajasthan. The experiment revealed that among various irrigation schedule treatments, the application of treatment I1 (100% ETc) was observed significantly superior over other treatments concerning leaf parameters in which the increase in leaf NPK content particularly N: 2.53%, P: 0.23%, K: 1.72% and soil NPK particularly N: 319.13 kg ha-1, P:24.58 kg ha-1, K: 290.92 kg ha-1 at 0-15cm depth were observed under this treatment I1 (100% ETc). As regard to individual effect of fertigation, maximum leaf NPK content (N: 2.56% P: 0.23%, K: 1.75%) and soil NPK particularly N: 322.28 kg ha-1, P: 26.10 kg ha-1, K: 295.25 kg ha-1 at 0-15cm depth were observed under the treatment F1 (100% RDF). Among the interaction of irrigation schedule and fertigation levels, leaf and soil parameters were observed significantly superior in treatment I1F1 (Irrigation Scheduling at 100 % ETc + Fertigation 100 % RDF) while treatment I2F1 (Irrigation Scheduling at 80 % ETc + Fertigation 100 % RDF) was registered followed by with it in most of the leaf parameters and soil parameters was observed at par with treatment I2F1 studied.
Impact of Agricultural Technology Management Agency Model in Agricultural Extension System to Promote Sustainable Agriculture in Uttar Pradesh, India
In the mid-1990s, the World Bank and the Government of India began to study different ways to extend systems. So a new decentralized extension strategy was created, focusing on diversification in Agriculture, revenue generated by farm, and employment opportunities prospects. The Agricultural Technology Management Agency (ATMA) concept was used at the district level to address these system issues and help the state extension system plan, implement, and monitor district extension operations. ATMA intended to test recent technological transfer methodologies, organizational structures, and standard operational procedures. Beneficiaries (targeted farmers) were compared pre- and post-intervention to measure the ATMA model's field impact. To compare the agro-economic conditions of the target farmers over time, baseline and effect evaluation questionnaires were completed. In order to reflect on both "with project" and "without project" situations, it was vital to involve farmers from non-project areas in the study.