Digital crop management utilizes advanced technology to transform traditional farming methods, enabling farmers to optimize their agricultural practices. Through the use of tools like remote sensing, drones, and data analytics, farmers can monitor crop health, detect diseases early, and manage water usage more effectively. This technology helps track soil moisture, nutrient levels, and even pest outbreaks in real-time, allowing for precise interventions that save both time and resources. By analyzing large datasets, farmers can predict crop yields, identify potential risks, and make informed decisions. Digital platforms also connect farmers to markets, ensuring fair trade opportunities and reducing logistical inefficiencies. Ultimately, digital crop management enhances crop productivity while promoting environmentally sustainable farming practices.
Title : Micromammal diversity and health in agricultural landscapes: A focus on body condition
Linas Balciauskas, Nature Research Centre, Lithuania
Title : Suitaiology: Technical goals and general concept designing for applications in mountain areas
Dachang Zhang, National Research Center for Geoanalysis and Water & Eco Crisis Foundation, United States
Title : Autonomous climate resilient farming: How AIIoT and renewable energy integration enable net zero aquaponics at scale
Kelly Ochuko EGODE, Omfeonix Agritech Ltd, United Kingdom
Title : The use of spectral measurements in experiments and agricultural production
Tytus Berbec, Institute of Soil Science and Plant Cultivation - State Research Institute, Poland
Title : Environmental Health Impact Assessment (EHIA) process for agricultural and horticultural processes - Case study as ginning of Indian seed-cotton (or kapas)
Vijayan Gurumurthy Iyer, Techno-Economic-Environmental Study and Check Consultancy Services, India
Title : Beyond high-tech: Finding the right solutions for sustainable vertical farming in Singapore
Chow Kheong Keat Gregory, Ngee Ann Polytechnic, Singapore