Sökning: "poor harvest"
Visar resultat 1 - 5 av 34 uppsatser innehållade orden poor harvest.
1. Resurseffektiv bevattning i ett föränderligt klimat
Uppsats för yrkesexamina på avancerad nivå,Sammanfattning : Södra Gotland (Storsudret) är ett av de mest utsatta områdena i Sverige när det kommer till torka under somrarna. Trots stora mängder nederbörd har jordbrukare problem med bevattning då öns geologi påverkar lagringen av vatten i form av grundvatten negativt. LÄS MER
2. The restoration period : a new era in forestry
Master-uppsats, SLU/Dept. of Forest Ecology and ManagementSammanfattning : In the last 200 years the boreal forests of Sweden have undergone a dramatic transformation. After a long history of high grading the largest trees foresters grew increasingly concerned about the state of logged over forests. The big question was how to regenerate and increase the productivity of sparse forests. LÄS MER
3. Food loss in perishable food supply chains : The case of Colombia
Master-uppsats, Jönköping University/Internationella HandelshögskolanSammanfattning : Background: Challenges with food loss in perishable food supply chains (PFSCs) indeveloping countries, such as Colombia, is an increasing problem. The PFSCs in developingcountries are characterized by high uncertainty and a dynamic environment. LÄS MER
4. Determining Anomalies in Radar Data for Seedbed Tine Harrow Operation
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : The agricultural industry is constantly evolving with automation as one of the current main focuses. This thesis involves the automation of a seedbed tine harrow, specifically the control of the tillage depth. LÄS MER
5. Self-Supervised Learning: Land Classification of Satellite Imagery
Kandidat-uppsats, Lunds universitet/Matematisk statistikSammanfattning : The rise of self-supervised learning has granted a deeper level of generalized machine learning capable of learning semantic representations without any use of labelling. With 700 satellites orbiting Earth and generating terabytes of unlabelled data daily, satellite imagery serves as a particularly enticing data set for self-supervised learning, containing rich information with many applicable domains,such as agriculture. LÄS MER