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.
WOS Indexed (2026)
07 May 2026 (Vol - 57 , Issue- 05 )
31 May 2026 (Vol - 57 , Issue 05 )
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
Diagnostic model of potassium deficiency in apple leaves based on shape and color combination feature
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.
Genetic Divergence and Character Association studies in Indian Mustard [Brassica juncea (L.)]
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.
Impact of long-term fertilizer and manure application on rice biological yield, nutrient uptake, nutrient use efficiency, yield attributing characters in tropical rice ecosystem
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.
IoT based patient care model for highly communicable diseases in times of Covid19
As Covid-19 has become a matter of concern and provocation in the medical sector, the Internet Thing has enhanced humanity through advanced patient care in the healthcare zone. This is accomplished by the employment of a remote patient monitoring system. Consequently, the IoT-based monitoring systems are remarkably favorable for Covid-19 patients. The enactment of patient the health monitoring system is worthwhile as it remotely estimates the health condition of the patient. This has ameliorated the healthcare services by evading the physical contact, thereby facilitating the timely detection of coronavirus cases. The fundamental idea of this paper is to propose a patient monitoring system in times of Covid-19. The dataset of coronavirus patients is taken from API. This dataset comprises pulse rate and oxygen saturation, body temperature, and blood pressure monitor. The final evaluation and analysis have been done to depict the medical condition. The system will monitor mainly the pulse rate and the oxygen level, body temperature, and blood pressure monitor by the adoption of various sensors and the microprocessor Arduino Uno. In the presence of the ESP8266 Node MCU wi-fi module, Arduino will assemble the data from the numerous sensors and send this data to the server. The proposed design of this system is not only efficient in diminishing the fatality rates but also builds up the lives of humans the times of compulsion through its alert technique. Furthermore, this system will originate cautions to emergency services and the hospitals.
Preferences of Indigenous Fish Species according to Profitability by the Fish Farmers in Manipur, Northeast India
The current study was undertaken to determine the farmers' preferences for native fish species based on profitability in Manipur. The study involved 80 farmers from three villages in the Nambol block of Bishnupur district: Ishok, Oinam, and Naorem. A sample survey of farmers was conducted utilizing a personal interview method with a pretested and well-structured interview schedule. The respondents were chosen using a random sampling method. Ngakra, Pengba, Ngaton, Ngakichow, Nganap, and Ngasang are the six indigenous fish species. They're offered in pairs to the responders (fish farmers) in 15 different combinations. The respondents were asked to choose one Indigenous fish species over the other from each pair that they believe is more profitable. The Method of Paired Comparisons was used to analyze the data. According to the fish farmers, Ngakra is first in terms of profitability, followed by Pengba, Ngaton, Ngakichow, Ngasang, and Nganap.