Current Issue : October - December Volume : 2020 Issue Number : 4 Articles : 5 Articles
An agricultural model for allocation of crops is considered in this work using Pollination Intelligence Method. The model was\nconstructed to solve farmerâ??s decision making in allocating crops to a piece of land using market price, known yield of crops, cost\nincurred during planting, and the total amount of land available. A new class of metaheuristic method called Flower Pollinated\nAlgorithm is also presented in this work to solve the designed model. An improved version of the Flower Pollinated Algorithm\ncalled Pollination Intelligence Algorithm using an iterative scheme to override the switch parameter in Flower Pollinated\nAlgorithm is also presented and used in solving the designed model. A case study of a farmer in Ife, Osun State, Nigeria, was used\nto implement the model, and the results obtained suggested that instead of allocating crops to land randomly based on farmerâ??s\nintuition, cost of planting, yield of crops, and market price were factors that must be considered by farmers for optimal profit\nbefore planting crops....
Soil bulk density and moisture content are dynamic properties that vary with\nchanges in soil and field conditions and have many agricultural, hydrological\nand environmental implications. The main objective of this study was to\ncompare between a soil core sampling method (core) and the CPN MC-3...................
An infusion was developed based on green romaine lettuce leaves and banana.\nFurther, its sensorial acceptability was evaluated as a possible alternative\ntreatment for insomnia. The romaine lettuces and bananas used were\nwashed, chopped, dehydrated and ground. Optimal lettuce dehydration time\nwas determined through charting the weight lost and examining the curve.\nThis was found after 180 minutes at 60 Degree C. Two formulas were developed, the\nfirst with 1.1 g of dehydrated romaine lettuce and 0.2 g of dehydrated banana,\nand the second with 1.1 g of dehydrated romaine lettuce and 0.4 g of dehydrated\nbanana. Sensory analysis was conducted using sorting tests for taste,\naroma, paired preferences and intention to purchase. Tasters preferred the\nformula with a lower quantity of dehydrated banana. 85% of tasters indicated\nthat they would buy this infusion due to its potential functional properties for\novercoming insomnia....
Having drinking water is one of the sustainable development goals (SDG no. 6) that\nis not always easy to ensure, especially in countries like Spain or arid regions marked by water\ndeficit. The reuse of treated water should be considered when planning water resources, but it is\nnecessary to verify that this effectiveness is applicable to real situations. A field trial was carried out\nin several study areas distributed in agricultural parcels of south east Spain. Soils from two olive\ngroves and two vineyards irrigated with treated wastewater (TW) were monitored for to compare\nwith other plantations irrigated with conventional well water (WW) since July 2016-September 2018.\nFive different irrigation water sources were analyzed (two from well water and three from reclaimed\nwastewater). No microbiological, metal content, toxicity or organic compounds (PAHs and PCBs)\nin the studied water samples were detected and reclaimed municipal wastewater was comparable\nin quality to the conventional sources at all the demonstration sites, except for higher electrical\nconductivity. Soils irrigated with TW had higher values for electrical conductivity, N, K, Na, Mg, Mn\nand cation exchange capacity. The main precautions to be considered when irrigating with treated\nwastewater are its salt content and its tendency to high values of electrical conductivity. Otherwise,\nthey are an interesting contribution of nutrients to soil. Hence adopting this water type to irrigate\norchards, vineyards and olive groves could help to save primary water resources....
Optimizing irrigation frequency and intra row spacing for specific environment\nis one the major agronomic practices to improve productivity of haricot\nbean. Hence, a field experiment was conducted to evaluate the effect of irrigation\nfrequency and intra row spacing on growth, nodulation and agronomic\nperformance of haricot bean at Arba Minch during dry season of 2018/19.\nThe treatments consisted of three levels of irrigation frequency based on\nIW/CPE ratio (0.5, 0.67 and 1.0) with irrigation depth of 60 mm and three\nintra row spacing (6, 10 and 14 cm) which were factorially arranged in split\nplot design with three replications. Data were collected on phenological, nodulation,\ngrowth, yield and yield related parameters of the crop. The measured\nparameters were subjected to analysis of variance using SAS software\nversion 9.0. Among the measured parameters, plant height, pod number per\nplant, dry matter and seed yield were significantly influenced by interaction\neffect of the treatments. The maximum seed yield................
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