Results 221 to 230 of about 175,167 (285)
The increasing demand for sustainable food production requires innovative solutions that balance productivity, resource efficiency, and environmental impact. Vertical Farming Systems (VFSs) offer a promising approach; however, their high energy consumption remains challenging.
Alessio Dessì +11 more
wiley +1 more source
Climate Smart Agriculture from the intensive vegetable farmers perspectival
Adusei FY.
europepmc +1 more source
Rising temperatures and wetter conditions in the Midcontinent of North America are influencing climate responses in trees. Dendroclimatological analyses of four exotic deciduous conifer species from Secrest Arboretum, Northeast Ohio help identify past, present and future climate‐tree interactions.
Gregory Wiles +6 more
wiley +1 more source
Adverse effects of grapevine trunk diseases on canes produced from infected rootstock mother blocks
High incidences of GTD pathogens in rootstock mother vine heads, with Phaeomoniella chlamydospora and Diplodia seriata affecting cane physiology and quality. One‐year‐old canes harbor systemic inoculum, highlighting the need for careful monitoring and management.
Wynand Jacobus van Jaarsveld +5 more
wiley +1 more source
Factors Influencing Climate-Smart Agriculture Practices Adoption and Crop Productivity among Smallholder Farmers in Nyimba District, Zambia. [PDF]
Petros C +3 more
europepmc +1 more source
Editorial: Role of Microbes in Climate Smart Agriculture. [PDF]
Das S, Ho A, Kim PJ.
europepmc +1 more source
Responsive liquid metal materials towards unstructured environment
Room‐temperature liquid metals integrate conductivity, deformability, and interfacial dynamics, enabling robust performance in unstructured environments. This review highlights key properties, requirements, and applications across in vivo, underwater, natural, space, and radiation settings, with advances in sensing, actuation, thermal regulation, and ...
Bo Yuan +5 more
wiley +1 more source
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law +10 more
wiley +1 more source

