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Visar resultat 1 - 5 av 355 uppsatser som matchar ovanstående sökkriterier.
1. Assessing water balance and yields in Malawian cropping systems : maize soybean and maize Gliricidia systems resilience against climate change
Master-uppsats, SLU/Dept. of Soil and EnvironmentSammanfattning : In Malawi, maize monocultures are increasingly susceptible to extreme weather patterns, causing considerable yield reduction and heightened food insecurity for smallholder farmers dependent on rainfed subsistence agriculture. Diversifying cropping systems is crucial for ensuring yield resilience. LÄS MER
2. Winter wheat exudates : Improving wheats resilience to drought
Master-uppsats, Umeå universitet/Institutionen för ekologi, miljö och geovetenskapSammanfattning : Wheat (Triticum aestivum) is a crop that dominates the diets of about 35% of the world's human population. But wheat yields can be severely affected by drought. Therefore, in this experiment, root exudation of winter wheat was compared to find out how exudation changes during drought stress. LÄS MER
3. The potential to use rhizobacteria within agricultural innovations instead of chemical inputs : taking quality and quantity of the crop into consideration
Kandidat-uppsats, SLU/Dept. Of Plant BiologySammanfattning : Plant growth promoting rhizobacteria (PGPR) are soil bacteria that occur naturally, colonize the roots of plants and can promote plant growth. PGPR isolated and used as inoculum to seed or plants is mostly marketed as a growth stimulant because it facilitates registration and reduces costs, even though PGPR may also serve as biocontrol products. LÄS MER
4. Biogasproduktion vid samrötning av substrat tillgängliga vid lantbruk : Småskalig rötning vid Lillerudsgymnasiet
Master-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)Sammanfattning : The world is currently heavily dependent on fossil sources and the use of fossil fuels leads to increased global warming. One of the solutions to this environmental problems is biogas. LÄS MER
5. Study of evaluation metrics while predicting the yield of lettuce plants in indoor farms using machine learning models
Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : A key challenge for maximizing the world’s food supply is crop yield prediction. In this study, three machine models are used to predict the fresh weight (yield) of lettuce plants that are grown inside indoor farms hydroponically using the vertical farming infrastructure, namely, support vector regressor (SVR), random forest regressor (RFR), and deep neural network (DNN). LÄS MER
