The Role of Smart Farming in Sustainable Development

This paper intends to explore the development of agriculture in to smart farming and how smart farming can contribute to the sustainable development goals. The paper focuses on how smart farming can be imparted in sustainable agriculture by analyzing the environmental, economic and social impact. This paper applied a systematic literature review technique to assess published academic literature on smart farming and sustainable agriculture in Southeast Asia. The review identified that smart farming can lead to less environmental damage, lower cost and higher productivity and has the potential to create decent jobs for the youth ultimately leading to a sustainable food system.

The Role of Smart Farming in Sustainable Development

This paper intends to explore the development of agriculture in to smart farming and how smart farming can contribute to the sustainable development goals. The paper focuses on how smart farming can be imparted in sustainable agriculture by analyzing the environmental, economic and social impact. This paper applied a systematic literature review technique to assess published academic literature on smart farming and sustainable agriculture in Southeast Asia. The review identified that smart farming can lead to less environmental damage, lower cost and higher productivity and has the potential to create decent jobs for the youth ultimately leading to a sustainable food system.

Peningkatan Pendapatan Petani Kecil Melalui Program Rumah Tanam Metode Smart Farming 4.0

Penelitian ini adalah untuk mengkaji penerapan program Rumah Tanam berbasis komunitas metode Smart Farming 4.0.dalam rangka peningkatan kesejahteraan dan pendapatan petani khususnya cluster petani kecil. Lokasi penelitian di Desa Padang Tumbuo Kecamatan Ampana Kota Kabupaten Tojo Una Una. Metode penelitian ini adalah deskriptif analitis dengan menggunakan metode analisis pendapatan guna mengetahui rata-rata pendapatan yang diperoleh per panen serta metode ZOPP (Ziel Orienterte Project Planning) yaitu metode yang digunakan untuk proses perencanaan pembangunan daerah, proyek yang berorientasi pada tujuan dan merupakan perencanaan partisipatif yang digunakan dalam rangka mengkaji keadaan Desa Padang Tumbuo dengan memberikan informasi secara ringkas mengenai mengapa program tersebut perlu dibuat,apa yang ingin dihasilkan dan bagaimana program tersebut akan bekerja untuk mencapai hasil yang diinginkan. Hasil Penelitian berdasarkan data yang diperoleh dari jumlah penduduk 2.238 jiwa dan 664 KK. Rata-rata masyarakat adalah petani jagung dengan pendapatan per panen Rp.5.248.936,- dan jumlah biaya produksi yang cukup tinggi. Kendala umum yang dihadapi karena keterbatasan lahan garapan yang mereka miliki, namun demikian dalam memenuhi kebutuhannya petani menggarap dengan menggunakan lahan orang lain melalui kesepakatan bagi hasil dengan pemilik lahan dan dapat diindikasikan bahwa petani desa Padang Tumbuo dikategorikan sangat miskin. Berdasarkan Metode ZOPP yang peneliti gunakan dalam mengkaji kelayakan proyek perencanaan Program Rumah Tanam Metode Smart Farming 4.0, melalui Analisis partisipatif, analisis masalah, analisis tujuan dan analisis alternative, sehingga disimpulkan bahwa program tersebut dapat diterapkan di Desa Padang Tumbuo. Pemerintah Daerah Kabupaten Tojo Una-Una berperan penting dalam menyusun kebijakan-kebijakan yang pro petani kecil sebagai upaya meningkatkan pendapatan dan produktivitas petani.

Green House Smart Farming Echosystem

The future of farming has been one of the most talked-about issues on world forums, with the world population increasing yearly there is a special need to develop more efficient ways to grow food and distribute them effectively. This work discusses the design and implementation of a greenhouse smart farming echo system for the cultivation and distribution of plants using mushrooms as a focused product, linking a farm environment to a business market (cultivation processes and supply chain). A greenhouse farm smartly monitored with embedded devices, a control interface for these devices, and a web platform for product distribution and consumer management platform was developed to create a unified smart agricultural echo system. The embedded system has sensors that monitor the levels of light, temperature, soil moisture and humidity and automatically open the tap to water the farm. In addition, the supply chain was designed for the distribution of farm products. The prototype was fabricated and tested. The results showed that both the electronic part and the supply chain are working as proposed.

An Integrated LoRa-Based IoT Platform Serving Smart Farming and Agro-Logistics

The value chain of agri-food is radically changed due the fact that consumers, as well as various players in the agro-logistics chain, seek for increased and trustful food safety. Given the specific characteristics of the agri-food supply chain, having numerous origin points, several aggregations hubs at different levels and then again numerous points of sales, the need of a holistic approach in collecting, forwarding and interpreting data in an interoperable way is a dire need. In this chapter, the authors present the architecture of the traceability platform KalaΘosTM and its IoT management module called, GP CoreIoTTM. The KalaΘos infrastructure includes a network of sensors devices at farms, equipment, trucks, aggregation, processing, and logistics facilities, connected to a network of LoRa gateways. Its open architecture focuses on semantic and syntactic interoperability approaches for joint exploitation of data collected and managed by other systems with similar aims and scope.

Smart Farming enabled by IoT and Spectral Imaging

Smart Farming System is an emerging concept which utilizes sensors in the field enabled through IoT to get live data from the farm. This paper aims at developing such a Smart Farming system using the highly advanced technology of Texas instruments microcontrollers, MSP430 and TIVA C Series TM4C1294. Along with IoT the system uses Multispectral Imaging in conjunction with Wireless Soil Embedded Sensor Networks. The goal of the system is to provide reliable live data which is obtained from the multiple sensor nodes placed throughout the farm, that use the sink nodes to transfer the data to the cloud. The farmer can access this data using the Blynk Mobile app and can thus take further calculated actions towards maintaining the farm and further monitor the soil/crop health to increase the ultimate yield from his farm.