Sökning: "crop performance"

Visar resultat 1 - 5 av 58 uppsatser innehållade orden crop performance.

  1. 1. Assessment of Climate Change Impact on Rainfed Barley Production in the Mediterranean Basin : The Almeria province case study

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Francesco Saretto; [2024]
    Nyckelord :Barley; Rainfed; Climate Change; AquaCrop; AquaCrop-OSPy; Mediterranean; Climate Change Adaptation; Crop Modeling; Agriculture; Irrigation;

    Sammanfattning : The Mediterranean basin is widely recognized as a climate change hotspot, with climate models projecting increasingly warmer and drier conditions that will impact local ecosystems, communities, and economies. Agriculture will be among the most affected sectors, with harsher conditions for crops’ growth, greater water needs, and lower yields. LÄS MER

  3. 2. Data Driven Augmentation for Deep Learning Applications

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Sanna Severinsson; [2023]
    Nyckelord :;

    Sammanfattning : Deep learning models are achieving remarkable performance on numerous tasks across various fields and applications. However, current deep learning models often suffer from overfitting and are therefore heavily reliant on regularization techniques such as data augmentation. LÄS MER

  4. 3. 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 informationsteknologi

    Författare :Divya Chedayan; Harry Geo Fernandez; [2023]
    Nyckelord :machine learning; lettuce yield prediction; Regression; SVR; RF; DNN; MAE; MSE; RMSE; R-squared; Adjusted R-squared;

    Sammanfattning : 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

  5. 4. A Novel Approach for Rice Plant Disease Detection, classification and localization using Deep Learning Techniques

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Surya S V A S Sudheer Vadrevu; [2023]
    Nyckelord :Machine Learning; Image Processing; Disease Diagnosis; robustnessand reliability; SegFormer; Mask RCNN; YOLO v8;

    Sammanfattning : Background. This Thesis addresses the critical issue of disease management in ricecrops, a key factor in ensuring both food security and the livelihoods of farmers. Objectives. LÄS MER

  7. 5. The Development and Testing of Low-Cost Heat Transfer Enhancements for Solar Dryers

    Master-uppsats, Lunds universitet/Institutionen för energivetenskaper

    Författare :Hoda Mahmoodi; [2023]
    Nyckelord :Solar dryer; Bhutan; Drying rate; Solar absorber; Technology and Engineering;

    Sammanfattning : In the mountainous regions of Bhutan and Nepal, post-harvest losses cause significant challenges for producers. Open air sun drying is usually used by farmers to preserve their produce. There are many disadvantages to this method. LÄS MER