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cropyield, etc ; color; computer vision; disease diagnosis; grapes; leaf blight; leaves; measles; principal component analysis; product quality; support vector machines; Show all 11 Subjects
Abstract:
... Plant diseases often reduce crop yield and product quality; therefore, plant disease diagnosis plays a vital role in farmers’ management decisions. Visual crop inspections by humans are time-consuming and challenging tasks and, practically, can only be performed in small areas at a given time, especially since many diseases have similar symptoms. An intelligent machine vision monitoring system for ...
cropyield, etc ; agronomy; fertilizer rates; fertilizers; Show all 4 Subjects
Abstract:
... Several recently developed and marketed fertilizers containing S and/or Zn that have been evaluated for their agronomic effectiveness are often compared with the traditional standard fertilizers on the basis of a single high fertilizer rate of the tested nutrient in terms of crop yield. This approach can provide an inaccurate or misleading conclusion that they are as good as or even better than th ...
... Agricultural practices involving the excessive use of chemical fertilizers and pesticides pose major risks to the environment and human health [...] ...
cropyield, etc ; biomass; dynamic models; spring wheat; vegetation; Show all 5 Subjects
Abstract:
... The purpose of this work is to present a new method for estimating the parameters of the biomass of agricultural crops based on Earth remote sensing (ERS) data. The method includes mathematical models and algorithms estimation and has been tested on the example of spring wheat sowing. Sowing biomass parameters are the basis for making management decisions aimed at obtaining a given crop yield. Cur ...
cropyield, etc ; discriminant analysis; sugarcane; technology; weather; India; Show all 6 Subjects
Abstract:
... Discriminant function analysis has been used for forecasting of Sugarcane yield of Coimbatore district in Tamilnadu. Crop yield has been classified into two and three groups. Using this crop yield and monthly data on weather variables,discriminant function analysis has been carried out. The scores calculated from function this along with the trend have used as regressors in developing yield foreca ...
cropyield, etc ; herbicide use reduction; herbicides; risk; weed control; weeds; Show all 6 Subjects
Abstract:
... Spot spraying is a method that can meet the objectives of reduced herbicide by maintaining a high level of weed control efficiency without lowering crop yield and harvest quality. Individual nozzle control systems show great potential for herbicide reduction. Nevertheless, this method of application also entails the risk of under-application on weed surfaces because of the lack of spray overlap an ...
cropyield, etc ; disease resistance; food security; genetic improvement; genomics; immunity; Show all 6 Subjects
Abstract:
... Plant diseases caused by diverse pathogens lead to serious reduction in crop yield and threaten food security worldwide. Genetic improvement of plant immunity is considered as the most effective and sustainable approach to control crop diseases. In the last decade, our understanding of plant immunity at both molecular and genomic levels has improved greatly. Combined with advances in biotechnologi ...
cropyield, etc ; energy; equations; food quality; remote sensing; yield forecasting; Show all 6 Subjects
Abstract:
... Many approaches for crop yield prediction were analyzed by countries using remote sensing data, but the information obtained was less successful due to insufficient data gathered due to climatic variables and poor image resolution. As a result, current crop yield estimation methods are obsolete and no longer useful. Several attempts have been made to overcome these difficulties by combining high p ...
cropyield, etc ; biotic stress; disease resistance; phytobiome; plant pathogens; stress management; Show all 6 Subjects
Abstract:
... Harnessing the phytomicrobiome offers a great opportunity to improve plant productivity and quality of food. In the recent past, several phytomicrobiome microbes have been explored for their potential involvement in increasing crop yield. This review strategically targets to harness the various dimensions of phytomicrobiome for biotic stress management of crop plants. The tripartite interaction in ...
cropyield, etc ; agricultural industry; agriculture; farms; information; modernization; pesticides; precision agriculture; Show all 8 Subjects
Abstract:
... The world receives more than 200 thousand people in a day and it is expected that the total world population will reach 9.6 billion by the year 2050. This will result in extra food demand, which can only be met from enhanced crop yield. Therefore, modernization of the agricultural sector becomes the need of the hour. There are many constraints that are responsible for the low production of crops, ...
cropyield, etc ; bacterial infections; bacteriophages; bioactive properties; phage therapy; plant protection; Show all 6 Subjects
Abstract:
... Phytopathogenic bacteria are one of the most significant causes of crop yield losses. Until now, the direct treatment of bacterioses was limited to the application of antibacterial compounds or resistance inducers. This is about to change due to the revolutionary discovery of phages. Indeed, bacteriophages look very promising as therapy agents: cheap, self-amplifying, self-eliminating, and safe fo ...
cropyield, etc ; corn; drought; evapotranspiration; latitude; longitude; runoff; soil water; wheat; China; Show all 10 Subjects
Abstract:
... Numerous studies have projected that drought will become more severe under changing climatic conditions which will have a profound impact on terrestrial ecosystems around the world. While a wide range of drought indices has been extensively applied to assess droughts, various issues have been raised, such as over- or underestimation of drought conditions, feature extraction techniques, or transfor ...
cropyield, etc ; basins; computer software; groundwater; runoff; streams; water management; water shortages; Show all 8 Subjects
Abstract:
... Small-reservoir development is a challenging issue in agricultural catchments facing water scarcity. An integrated, new and original agro-hydrological model considering small reservoirs, MHYDAS-Small-Reservoirs, is presented. The model explicitly represents relevant spatial scales (plot, small-reservoir, stream reach, groundwater, and catchment scales) and the agronomic and hydrological links betw ...
cropyield, etc ; climate change; crop diversification; farm labor; politics; rain; temperature; Somalia; Show all 8 Subjects
Abstract:
... Climate change induces a devastating effect on agricultural production in Somalia leading to crop yield to decline including sorghum. To this end, this study aims to ascertain the long-term and casual impacts of climate change – rainfall and temperature – on sorghum production in Somalia for the 1980–2017 period while accounting for the role of political instability, land under sorghum production, ...
cropyield, etc ; agriculture; electronics; germination; imbibition; photonics; plant establishment; seed quality; vibration; Show all 9 Subjects
Abstract:
... Seed-quality is one of the most important factors for achieving the objectives of uniform seedling establishment and high crop yield. In this work, we propose laser backscattering and deep transfer learning (TL) based photonics sensor for automatic identification and classification of high-quality seeds. The proposed sensor is based on capturing a single backscattered image of a seed sample and pr ...
cropyield, etc ; DNA methylation; abiotic stress; epigenetics; iron; nitrogen; phosphorus; sulfur; zinc; Show all 9 Subjects
Abstract:
... Nutrient stress as abiotic stress has become one of the important factors restricting crop yield and quality. DNA methylation is an essential epigenetic modification that can effectively regulate genome stability. Exploring DNA methylation responses to nutrient stress could lay the foundation for improving plant tolerance to nutrient stress. This article summarizes the plant DNA methylation patter ...
cropyield, etc ; carbon; climate change; energy; irrigation rates; models; resource management; temperature; uncertainty; Show all 9 Subjects
Abstract:
... As the uncertainty and importance of securing resources increase, the nexus concept is used for integrated sustainable use management planning. In particular, because protected farms are most affected by temperature change, the connection between the heating temperature variable and resources must be analyzed. In this study, a water-energy-food-carbon nexus model that reflected the agricultural ch ...
cropyield, etc ; Bayesian theory; artificial intelligence; forests; meteorology; neural networks; soybeans; yield forecasting; Show all 8 Subjects
Abstract:
... An imperative aspect of agricultural planning is accurate yield prediction. Artificial Intelligence (AI) techniques, such as Deep Learning (DL), have been recognized as effective means for achieving practical solutions to this problem. However, these approaches most often provide deterministic estimates and do not account for the uncertainties involved in model predictions. This study presents a f ...
cropyield, etc ; epigenetics; growth and development; heat; heat stress; heat tolerance; plant growth; Show all 7 Subjects
Abstract:
... Heat stress (HS) affects plant growth and development, and reduces crop yield. To combat HS, plants have evolved several sophisticated strategies. The primary HS response in plants involves the activation of heat-shock transcription factors and heat-shock proteins (HSPs). Plants also deploy more advanced epigenetic mechanisms in response to recurring HS conditions. In addition, beneficial microbes ...
cropyield, etc ; altitude; climate; climate change; corn; crop models; cultivars; latitude; uncertainty; China; Show all 10 Subjects
Abstract:
... The potential of climate adaptation has been widely investigated with a climate-crop modeling approach. Although different sources of uncertainty in projected crop yields have been quantified in climate change impact assessments, uncertainty in simulating the crop adaptation to future climate has not been fully assessed. The objective of this study was to determine the uncertainty in simulating ma ...