Results 181 to 190 of about 132,258 (347)

Challenges and limitations of introducing pigeonpea as a new crop into smallholder farming systems through farmer‐to‐farmer education in Zambia

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Legume plants offer generous benefits for both the planet and people by supporting sustainable farming, food and feed systems through their ability to symbiotically fix atmospheric nitrogen. While grain legumes are cultivated and consumed globally, their adoption, market development, and integration into cropping systems vary.
Hamid Khazaei   +2 more
wiley   +1 more source

Geomorphic Responses to Post‐Grazing Recovery and Stream Restoration in Semiarid Grassland Streams

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Semiarid grassland streams are sensitive to land use, climate, extreme discharges, and internal geomorphic thresholds that drive episodic erosion. Rooted in a process‐based philosophy and commonly applied to historically wood‐rich, beaver‐modified systems, low‐tech process‐based restoration using structures is increasingly being extended to ...
Owen Richardson, Ellen Wohl
wiley   +1 more source

Cameras do not always take a full picture: wolf activity patterns revealed by accelerometers versus road‐positioned camera traps

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Camera traps have become an increasingly popular non‐invasive alternative to animal‐attached devices for studying wildlife behaviour. This study compared wolf (Canis lupus) activity patterns derived from collar accelerometers and road‐positioned camera traps and revealed strong overall agreement but also important seasonal and diel mismatches between ...
Katarzyna Bojarska   +7 more
wiley   +1 more source

Deep learning‐based ecological analysis of camera trap images is impacted by training data quality and quantity

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Machine learning image classifiers are increasingly being used to automate camera trap image labelling, but we don't know how much ML model accuracy matters for downstream ecological analyses. Using two large data sets from an African savannah and an Asian dry forest ecosystem, we compared human labelled data with predictions from deep‐learning models ...
Peggy A. Bevan   +12 more
wiley   +1 more source

Home - About - Disclaimer - Privacy