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 Career Development Session by Impacters in collaboration with Netlight’s Code Pub At Impacters we focus on the empowerment of its members and provide them with opportunities to work on their personal strengths. We provide various training and personal development opportunities so …
Impacters Project Saathi - 1 Open position for Software Engineer (Data Scientist) Level: Brief previous work experience Impacters is growing and we are putting together a team of strong, enthusiastic engineers and scientists! Impacters aims to start a movement that encourages …
Impacters Project Saathi - 1 Open position for Agriculture Specialist Level: Brief previous work experience Impacters is growing and we are putting together a team of strong, enthusiastic engineers and scientists!Impacters aims to start a movement that encourages …
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 ...
