Sökning: "Crop Disease Prediction"

Hittade 2 avhandlingar innehållade orden Crop Disease Prediction.

1. 1. Data driven crop disease modeling

   Författare :Priyamvada Shankar; Marcus Liwicki; Foteini Liwicki; Lili Jiang; Luleå tekniska universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Crop Disease Prediction; Precision Agriculture; Digital Farming; Artificial Intelligence; Machine learning; Maskininlärning; Machine Learning;

   Sammanfattning : The concept of precision farming deals with the creation and use of data from machinery and sensors on and off the field to optimize resources and sustainably intensify food production to keep up with increasing demand. However, in the face of a growing amount of data being collected, smarter data processing and analysis techniques are needed and have prompted the evaluation and incorporation of artificial intelligence (AI) and machine learning (ML) techniques for multiple use cases right from seeding to harvesting. LÄS MER

3. 2. Novel Methods for Resistance Breeding in Winter Wheat

   Författare :Mustafa Zakieh; Sveriges lantbruksuniversitet; Sveriges lantbruksuniversitet; []
   Nyckelord :LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES;

   Sammanfattning : Breeding for disease resistance in winter wheat is a critical task in the agricultural industry, as plant diseases can significantly impact crop yield and quality. Traditional breeding methods are time-consuming, and disease resistance screenings are often cost and labour-demanding. LÄS MER