Current Issue : January - March Volume : 2018 Issue Number : 1 Articles : 5 Articles
Twenty cassava genotypeswere arrangedin a randomised complete block designwith three replications and assessed for growth and\nyield stability using the additivemain effect andmultiplicative interaction (AMMI) analysis.Highly significant (...
The aim of this study is to establish the estimation model of potassium content\nin apple leaves by using vegetation index. A total of 96 fresh apple leaves\nwere collected from 24 orchards in Qixia County, Shandong Province. The\nspectral reflectance of the leaves was measured by ASD FieldSpec4. The difference\nvegetation index (DVI), ratio vegetation index (RVI) and normalized\nvegetation index (NDVI) were used to make the contour map through Matlab\nplatform, and the combination of high correlation wavelength was selected to\nestablish the random forest (RF) regression model of potassium content. The\nhyperspectral reflectance increased with the increase of leaf potassium content.\nThe correlation between DVI and the content of potassium is higher\nthan NDVI and RVI. The optimal vegetation index was DVI (364,740), the\ncorrelation coefficient was 0.5355. The random forest regression model established\nwith DVI selected vegetation index was the best. R2 was 0.8995, RMSE\nand RE% were 0.0791 and 0.0617 respectively. Using DVI to establish the\nrandom forest regression model to reverse the potassium content of apple\nleaves has achieved good results. It is important to determine the growth status\nof apple in hyperspectral and to determine the potash fertilizer of apple\ntrees....
Sicily is a region located in the southern Italy. Its typical Mediterranean landscape is\nappreciated due to its high biodiversity. Specifically, hazelnut plantations have adapted in a definite\narea in Sicily (the Nebroidi park) due to specific morphological and climatic characteristics. However,\nmany of these plantations are not used today due to adverse conditions, both to collect hazelnuts\nand to reach hazel groves. Though a geospatial analysis, the present paper aims to identify which\nhazelnut contexts can be actively used for agricultural, economic (e.g., introduction of a circular\neconomy) and energetic purposes (to establish a potential agro-energetic district). The examination\nrevealed the most suitable areas giving several criteria (e.g., slope, road system), ensuring an effective\ncultivation and consequent harvesting of hazelnuts and (ii) providing security for the operators since\nmany of hazelnut plants are placed in very sloped contexts that are difficult to reach by traditional\nmachines. In this sense, this paper also suggests optimal mechanization processes for harvesting\nhazelnuts in this part of Sicily....
The number of GNSS satellites has greatly increased over the last few decades, which has\nled to increased interest in developing self-propelled vehicles. Even agricultural vehicles have a great\npotential for use of these systems. In fact, it is possible to improve the efficiency of machining in\nterms of their uniformity, reduction of fertilizers, pesticides, etc. with the aim of (i) reducing the\ntimeframes of cultivation operations with significant economic benefits and, above all, (ii) decreasing\nenvironmental impact. These systems face some perplexity in hilly environments but, with specific\ndevices, it is possible to overcome any signal deficiencies. In hilly areas then, the satellite-based\nsystem can also be used to safeguard operators� safety from the risk of rollover. This paper reports the\nresults obtained from a rural development program (RDP) in the Lazio Region 2007/2013 (measure\nproject 1.2.4) for the introduction and diffusion of GNSS satellites systems in hilly areas....
Using a multi-disciplinary approach, this study quantifies horticultural postharvest losses\nof two medium-sized (annual pack volume 4500 t) commercial, domestic, tomato supply chains.\nQuantification of loss was based on weight or volume, consistent with direct measurement methods\nof the Food Loss and Waste Accounting and Reporting Standard 2016 and qualitative techniques were\nused to identify the drivers of the loss and contextualise the findings. Postharvest loss was found to\nbe between 40.3% (55.34 t) and 55.9% (29.61 t) of the total harvestable product. It was determined\nthat between 68.6% and 86.7% of undamaged, edible, harvested tomatoes were rejected as outgrades\nand consequently discarded due to product specifications. Between 71.2% and 84.1% of produced\ntomatoes were left in the field and not harvested. This study highlights significant factors contributing\nto high levels of food loss and waste. Edible products are being removed from the commercial food\nsupply chain, rejected as outgrades deemed cosmetically defective due to market-based decisions.\nWith only 44.1% and 59.7% of the harvestable crop reaching the consumers of the two supply chains,\nrespectively, it is perhaps more appropriate to describe a food ââ?¬Å?wasteââ?¬Â chain as opposed to a food\nââ?¬Å?supplyââ?¬Â chain....
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