Impacters Saathi / Reel This video reel provides an insight into the Saathi project, an AI innovation that aims to transform farming and agriculture for smallholder farmers in Nepal by offering insights into optimizing ...
Impacters Saathi: Press Statement Impacters releases Saathi, Nepal's first AI edge solution to alleviate farming issues of the Nepali farmers.Date: 27.03.2022Kathmandu. Impacters announced today the completion of Saathi, the first AI …
Impacters In Conversation with Lachana Hada: Saathi’s path, from concept to project to product As Impacters prepares to celebrate the wrap of Project Saathi, we have been putting out materials online to provide insight into the product and the process by which the team ...
Impacters Saathi - An AI innovation for Nepali farmers Despite being a country driven by its agricultural sector, Nepal has been suffering from negative growth in food crop production. This major issue affects both the population and the economy, ...
Impacters Forecasting soil moisture levels using Long Short-Term Memory (LSTM) model Time series analysis can help farmers understand the dynamic state of their farms, thus empowering them to make quicker and smarter decisions.Author: Neha Pokharel Time series analysis and prediction …
Impacters Overcoming Data Constraints with Transfer Learning With transfer learning, instead of using an isolated learning approach, a pre-trained large image model is extended with a smaller dataset.Author: Utsabi DangolProject Saathi is currently working on …
Impacters Discerning soil properties using a Convolutional Neural Network Soil characteristics play a major role in determining what crops can grow in a particular acreage. Therefore in this article, we will attempt to delineate soil properties and categorize them ...
Impacters Crash Course on Machine Learning Impacters is proud to organize a multi-day workshop on Machine Learning with Aleksei Vasilev. Join us every Wednesday from 7th to 28th April via Zoom for our second virtual workshop ...
