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. Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science) General Medicine (ISSN:1311-1817) Chinese Journal of Evidence-Based Medicine Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption
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:
Organic waste from animals and plants can be processed into Biourine. Biourine is useful for plants as a liquid organic fertilizer. Processing livestock waste from urine into biourine aims to avoid environmental pollution and help plant fertility as liquid organic fertilizer. This study aims to determine the benefits of organic waste from animals and plants to manufacture biourine as liquid organic fertilizer. This study used cow rumen from animals and tomato waste from plants, using a randomized block design with five treatments and eight replications. namely A-: Cow urine without addition, A+: Cow urine + EM4, B: Cow urine + 100% animal IMO, C: Cow urine + 100% vegetable IMO, D: Cow urine + 50% animal IMO + 50% vegetable IMO. Parameters observed were total microbes, pH, macro-nutrients Carbon (C), Phosphorus (P), Nitrogen (N), and Potassium (K), as well as micro-nutrients iron (Fe) and Copper (Cu). The results showed that total microbes, pH, macronutrients, the five treatments showed different results (P<0.05), and while micronutrients showed no different results (p<0.05), the conclusion of organic waste originating from animals and vegetables can be used as basic ingredients for biourine production as a liquid organic fertilizer that is useful for food crops.
Sugarcane crop is a source of income for the rural people but the residue of sugarcane is burnt by them that cause harmful effects on soil and atmosphere. Apart from this if sugarcane residue is retained on the soil as mulch; it conserves soil moisture, improves the soil properties and inhibits the growth of weeds. Addressing this issue, an experiment was conducted to find out the effect of trash management practices on the physical properties of soil under the sugarcane ratoon cultivation. The result revealed that the application of trash in alternate rows (T5) reduced the soil bulk density from 1.53 to 1.436 Mg cm-3. In first year experiment, water holding capacity show higher mean value with trash chopper (T6) and lower with burning treatment (T8). In infiltration rate observation, maximum was recorded in trash mulching in alternate rows by trash chopper (T6) (4.76 and 10.75 cm hr-1) and lowest in control (T1) i.e. 2.06 cm hr-1 in both years that is 296.11 % and 136.52% increase over the control and T8 burning respectively. The soil temperature and infiltration rate was significantly higher in the T8 and T6 respectively. The second year, significantly higher (24.78 ˚C) mean value of soil temperature was recorded with trash burning (T8) while significantly lower mean value (22.24 ˚C) was observed in (T4) compared to all the other treatments. And the application of trash favors the nutrients recycling and improves the soil health.
The pooled data, indicated significant difference among the genotypes for different characters. The GCV and PCV were highest for character % double on number basis, % bolter bulb on number basis and % rotten bulb on number basis. Heritability estimates were high for gross yield (kg plot-1), marketable yield (kg plot-1), marketable yield (q ha-1) and gross yield (q ha-1) indicating that the selection based on phenotypic performance of these characters would be more operative. High heritability coupled with high GAM was observed for characters gross yield (kg plot-1), marketable yield (kg plot-1), marketable yield (q ha-1) and gross yield (q ha-1). It indicated that additive gene effect was more important for these traits. Therefore, improvement in these traits would be more effectively by selection in the present material studied. High genetic advance as per cent of mean was recorded for weight of 20 bulb, average weight of marketable bulb, % double on number basis, % bolter bulb on number basis and % rotten bulb on number basis, gross yield (kg plot-1), marketable yield (kg plot-1), marketable yield (q ha-1) and gross yield (q ha-1). On the basis of D2 analysis, the 18 genotypes were grouped into five clusters. The cluster I was the largest with ten genotypes followed by cluster II and IV with four and two genotypes respectively. While, clusters III and V had one genotypes each. The intra and inter-cluster D2 represent the index of genetic diversity among clusters. The cluster IV recorded the maximum intra cluster distance followed by cluster I and cluster II. Maximum inter-cluster distance was observed between cluster II and IV, suggesting thereby that the genotypes belonging to cluster II and IV, II and V and I and II are more divergent than the rest of the clusters, can be undertaken in a hybridization programme for evolving superior hybrids or segregants. Percent character contribution towards genetic divergence among the onion genotypes was maximum for average weight of marketable bulb followed by gross yield (kg plot-1) and days to maturity 60-70% neck fall showing selection of these characters. Hence, the importance of selection for divergent parents based on these characters will be useful for heterosis breeding in onion. It can be concluded that, selection and hybridization of genotypes from high divergent clusters II (Bhima Safed, Agrifound Dark Red, Bhima Dark Red, Bhima Red) & cluster IV (Bhima Super, Bhima Shubhra) and between cluster II and V (L-883) are expected to yield potential F1s and transgressive for further exploitation.
For the loss of GNSS information in the field transportation scene, we constructed a NRTK-GNSS/INS/Visual multi-sensor fusion system based on the crawler carrying vehicle platform. Defects of state estimation for single sensor, using the Error State Kalman Filter algorithm, establishes a GNSS/INS fusion state estimation system to improve the position accuracy and stabilize the output fusion positioning results. We study the Visual/INS fusion state estimation in the case of abnormal information reception of GNSS, using (Visual Inertial Odometry, VIO) technology, using artificial labeling methods to increase the features, and collect the offline dataset for simulation analysis in MATLAB. Finally, it was tested in field road, the results show that in short-term GNSS signal abnormalities, the navigation position calculation method realized by VIO has a good position estimation accuracy, the motion estimation error of 50 meters could be controlled within 0.5 meters, meet the short-distance positioning and navigation requirements.
Several factors are responsible for reducing the crop productivity in worldwide. Among those factors, weed infestation is the major biotic constraint. Weed free condition during the critical period of crop weed competition is absolutely important for getting maximum yield. Weeds can be effectively managed by cultural, physical, chemical and biological methods. Among all those methods, hand weeding is an effective method of weed management. At the same time, increased labour wages and unavailability of agricultural labour during peak period of farm operations create pressure on researchers to find alternative method. Agricultural productivity is drastically decreasing in recent days mainly by delaying of timely operations due to labour unavailability. In this above context, chemical method is most effective and economical way of weed management. However, in recent days, excessive and inappropriate uses of chemical herbicides have gradually resulted in the wide problems of food and environmental contaminations. To manage the labour shortage, fasten the timely agricultural operation and precise application of agrochemicals is the new research area in agriculture. Over the past few years, several autonomous robotic technologies available for precise farming, manage the labour shortage, enhance the productivity and maintain the ecological balance. From the above review, it could be concluded that, introduction of artificial intelligence enabled agricultural robots is the potential and promising technique for mange the labour shortage, precise application of agrochemicals, speeding up the farm operations and increase the agricultural productivity. Undoubtly, this promising new generation technology will rule the modern agriculture in future.