Tootfinder

What's Not on the Plate? Rethinking Food Computing through Indigenous Indian Datasets
Pamir Gogoi, Neha Joshi, Ayushi Pandey, Deepthi Sudharsan, Saransh Kumar Gupta, Lipika Dey, Partha Pratim Das, Kalika Bali, Vivek Seshadri
https://arxiv.org/abs/2509.16286

What's Not on the Plate? Rethinking Food Computing through Indigenous Indian Datasets
This paper presents a multimodal dataset of 1,000 indigenous recipes from remote regions of India, collected through a participatory model involving first-time digital workers from rural areas. The project covers ten endangered language communities in six states. Documented using a dedicated mobile app, the data set includes text, images, and audio, capturing traditional food practices along with their ecological and cultural contexts. This initiative addresses gaps in food computing, such as t…

got cauliflowers to spite @… who was being an absolute hater earlier and im having a great time
don't get me wrong im also suffering bc I have 0 spice tolerance but it hurts so good

Temporally staggered cropping co-benefits beneficial insects and pest control globally
Adrija Datta (Department of Earth Sciences, Indian Institute of Technology, Gandhinagar, Gujarat, India), Subramanian Sankaranarayanan (Department of Biological Sciences,Engineering, Indian Institute of Technology, Gandhinagar, Gujarat, India), Udit Bhatia (Department of Computer Science,Engineering, Indian Institute of Technology, Gandhinagar, Gujarat, India, Department of Civil Engineering, Indian …

Temporally staggered cropping co-benefits beneficial insects and pest control globally
Reconciling increasing food production with biodiversity conservation is critical yet challenging, particularly given global declines in beneficial insects driven by monoculture intensification. Intercropping, the simultaneous or sequential cultivation of multiple crops, has been proposed as a viable strategy to enhance beneficial insect services and suppress pests, yet global evidence regarding optimal spatiotemporal intercropping configurations remains fragmented. Here, we synthesize results …