This guide helps Community Resource Persons establish and manage Sustainable Land Management (SLM) practices demonstration farms for learning purposes that considers farmers local conditions and needs for ease of understanding, joint learning and adoption.

A Scalable Farmer-to-Farmer Extension Model for Sustainable Agriculture Land Management Practices.

This B.Tech Agricultural Engineering project is based on the recent AI/ML research direction 'AgroSense: An Integrated Deep Learning System for Crop Recommendation via Soil Image Analysis and Nutrient Profiling'. The project connects agricultural engineering with artificial intelligence, machine learning, deep learning, IoT, computer vision, drone analytics, or RAG-style decision support. Students can use the linked 2023-onward paper/source as the academic base and convert it into an implementation-focused final-year project with sensors, datasets, dashboards, mobile/web interfaces, prediction models, or prototype automation.

Conservation Agriculture is a system which aims to produce high crop yields while reducing production costs, maintaining the soil fertility and conserving water. CA facilitates good agronomy, such as timely operations, and improves overall land husbandry for rain-fed and irrigated production.  It is a way to achieve sustainable agriculture and improve livelihoods.

Derived from decades of learnings from on-ground interventions in Madhya Pradesh, ProSoil project has created an integrated landscape approach called the ‘The Mandla Model’ to scale up Natural Farming. This document details the evolution of this approach and learnings that can be applicable in scaling up on Natural Farming practices in other locations within the country.